JP4797835B2 - Image composition device, image display device, image coding device, image composition program, image display program, and image coding program - Google Patents

Description

  The present invention relates to an image composition device, an image display device, an image coding device, an image composition program, an image display program, and an image coding program.

There are various types of software for displaying and printing a document described in a specific format on a display such as a PC, such as Adobe Reader (registered trademark) and DocuWorks Viewer (trademark).
These software (or files) may have security such as “print prohibition”, “overwrite prohibition”, or “download prohibition” when browsing via a communication line such as the Internet. . By applying such security, scattering of important information can be protected.
However, image information that can be displayed on the PC display is a PC screen dump (also called a screen shot) even when a protection measure such as printing prohibition is taken on the viewer software as described above. By using the function, it can be saved as bitmap information and printed.
In other words, as far as still images can be displayed (or must be displayed) on a PC, there is a problem that protection measures such as print prohibition are meaningless.

As a technique related to these, for example, in Patent Document 1, two images of an image with a pixel value + α and an image with a pixel value −α are created for the entire image, and these two images are alternately displayed. By displaying, the display data looks like a regular image, but when screen dumping, only the image with pixel value + α or the image with pixel value −α is displayed. It is disclosed that it cannot be done.
Further, for example, in Patent Document 2, two images of a pixel value + α and an image with a pixel value −α are created for the entire image, and the images are further divided into pixels for each image division. By switching the value + α and the pixel value −α and alternately displaying these two images, the display data appears to be a regular image. However, when screen dumping is performed, an image of pixel value + α or a pixel is displayed. It is disclosed that a regular image cannot be obtained because only an image having a value of −α is displayed.
Also, for example, in Patent Document 3, the input image is divided into a first image and a second image for each pixel, and the image viewer displays the first image and the second image at high speed, Alternatively, in the second image, low-saturation and low-brightness pixel values are embedded in pixels that are not selected, and the original image can be accurately restored even if the first image and the second image are obtained. It is disclosed that it is impossible.
Further, for example, in Patent Document 4, an image is divided and the divided image is reproduced in order to display the entire image, or the image is decomposed into a plurality of color spaces and the decomposed image is reproduced sequentially. Thus, it is disclosed that the entire image is displayed, and when a screen shot is taken, a divided image is acquired, so that security can be protected.
JP 2001-016429 A Japanese Patent Laying-Open No. 2005-167683 JP 2000-259139 A JP 2002-281478 A

  The present invention has been made in the background of such a background art, and an image composition device, an image display device, and an image code which can effectively ensure security even when the display screen is screen dumped. An object of the present invention is to provide an encoding device, an image composition program, an image display program, and an image encoding program.

The gist of the present invention for achieving the object lies in the inventions of the following items.
[1] Character dividing means for dividing each character in the information output as an image into N (N is a natural number of 2 or more) image portions,
Output image combining means for selecting one from N parts of each character divided by the character dividing means and generating a plurality of output images by combining the selected character parts ;
Display means for repeatedly displaying a plurality of output images generated by the output image composition means on a display device;
Screen dumping means for screen dumping the image displayed on the display device and storing it as bitmap information
Comprising
The image composition apparatus characterized in that the bitmap information stored by the screen dump means is one output image generated by the output image composition means .

[ 2 ] Rasterizing means for rasterizing the character code when the input information includes the character code
Further comprising
The character dividing unit divides the character rasterized by the rasterizing unit into N pieces.
Image synthesizing apparatus according to [1], wherein the.

[ 3 ] The input information includes a bitmap image, or the input information is a bitmap image, and further includes means for extracting a character image from the bitmap image. Image composition device.

[ 4 ] The image synthesizing apparatus according to [1], wherein the output image synthesizing unit selects one of the N parts of each character by a random number for each character.

[ 5 ] The image composition device according to [1], wherein the character dividing unit changes a value of N according to a character type of each character.

[ 6 ] Line number measuring means for measuring the number of horizontal lines or vertical lines;
The image composition as set forth in [1], further comprising: a division number determining means for determining a horizontal or vertical division number N from the number of horizontal lines or vertical lines measured by the line number measuring means. apparatus.

[ 7 ] A division number maximum value obtaining means for obtaining the maximum value of the division number N;
Means for determining link information as to which frame each divided image of each image portion corresponds to;
The image synthesizing apparatus according to [1], further comprising: a frame generation unit that generates a frame according to the maximum value acquired by the division number maximum value acquisition unit.

[ 8 ] A division number maximum value obtaining means for obtaining the maximum value of the division number N;
Link information determining means for determining link information as to which frame each divided image of each image portion corresponds to;
Means for storing each divided image of each image portion;
When generating a frame that is equal to or greater than the maximum value of the number of divisions N acquired by the division number maximum value acquisition unit, extract each divided image of each image portion from the link information determined by the link information determination unit, The image synthesizing device according to [1], further comprising means for generating a frame.

[ 9 ] Sensitivity input means for inputting sensitivity,
The image composition apparatus according to [1], further comprising: a division number calculation unit that calculates a division number N from the confidentiality input by the confidentiality input unit.

[ 10 ] Display image quality input means for inputting display image quality;
The image composition apparatus according to [1], further comprising: a division number calculation unit that calculates a division number N from the display image quality input by the display image quality input unit.

[ 11 ] To the computer,
A character dividing function for dividing each character in the information output as an image into N (N is a natural number of 2 or more) image portions;
An output image composition function for selecting one of N parts of each character divided by the character division function and generating a plurality of output images by composing the selected character parts ;
A display function for repeatedly displaying a plurality of output images generated by the output image synthesis function on a display device;
Screen dump function for screen dumping the image displayed on the display device and saving it as bitmap information
Realized,
The image composition program , wherein the bitmap information stored by the screen dump function is one output image generated by the output image composition function .

[25] To the computer,
An image input function for inputting a still image divided into a plurality of frames;
An image display program for realizing an image display function for displaying individual frames input by the image input function at the same position on a display at different times.

[26]
A division function for dividing a still image into a plurality of frames;
An image encoding program for realizing an encoding function for encoding a frame divided by the dividing function as a moving image file.

[27] To the computer,
An image division function that linearly transforms an input image, divides a transform coefficient used in the linear transformation, and further performs image division by performing inverse transform using the divided transform count;
An image composition program that realizes an output image composition function for selecting one of a plurality of image parts divided by the image dividing means and composing an output image.

[28]
A division function for dividing the input image into N images (N is a natural number of 2 or more);
An output image synthesis function for synthesizing N output images from the images divided by the division function;
An image display program which realizes an image display function for displaying N output images synthesized by the output image synthesis function as individual frames and displaying the frames at the same position on a display at different times.

  According to the image composition device, the image display device, the image coding device, the image composition program, the image display program, and the image coding program according to the present invention, the display screen is screened as compared with the case where the present configuration is not provided. Even if dumped, security can be effectively secured.

[Outline of this embodiment]
First, in order to help understanding of the present embodiment, an outline thereof will be described.
In the present embodiment, when an image is displayed, it can be performed as follows.
(1) Each character in the input image is divided into a plurality of parts (N, N is a natural number of 2 or more).
(2) Extract one part from each character.
(3) A single image is created by combining the extracted portions.
(4) Generate a total of N images.
(5) At the time of display, the divided still images are regarded as one frame, and are repeatedly displayed as if they were moving images.
In this way, the displayed moving image looks like a still image due to the afterimage effect of human vision or the afterimage effect of the display (CRT, liquid crystal, etc.). That is, the input image itself can be viewed.
However, since the bitmap image obtained when the still image displayed in this way is screen dumped is a divided still image, security such as printing prohibition is protected.

In the present embodiment, since each character is divided, even if only one image out of N images is acquired, the character readability can be kept very low.
Moreover, even if the value of N is relatively small, it is possible to maintain low legibility. This is because each character is guaranteed to be divided.
Furthermore, when browsing a document via a communication line such as the Internet, a mechanism that does not hold a still image file on a PC (similarly, a mechanism similar to streaming of a moving image) can be adopted.
Alternatively, by making the file format of a still image private, even when a file is downloaded, it can be prevented from being displayed without using specific viewer software.
As a display method including a file format, for example,
(1) A method of storing a document as a file like a normal still image and dividing it at the time of display (2) A method of dividing a still image and holding it as a movie when holding as a file There is.

In this embodiment, since the character itself is divided, the value of N that makes the character unreadable can be made constant. As a result, the scale of the apparatus can be reduced. The reason why the value of N can be made constant is that the number of divisions until it becomes impossible to read large or small characters is considered to be constant.
Further, in the present embodiment, since the division is performed by paying attention to characters, the size of the extracted region can be made different depending on the image portion. Therefore, automatically adapting to reduce the area of the divided area in the important part (for example, a small part of the character) and increasing the area of the divided area in the unimportant part (the large part of the character). Can do.
In the conventional example, the area of the extracted image region is constant regardless of the importance of the image. For example, since each line is extracted, the area of the portion is fixed to the area of one line.

You can also add:
(1) The value of N can be changed depending on the character type. Examples are given below.
For example, the number of divisions N = 6 for Roman characters, kana, and numbers, and the number of divisions N = 12 for kanji.
-The value of the division number N is changed depending on the font. For example, the division number N of a font with many features (such as a font with words) is increased. The serif is a beard such as a triangle or a rectangle that is decoratively attached to the end of a character.
・ Change the number of divisions N in styles such as italic and bold.
The number of horizontal lines in the character is measured, and the division number N in the horizontal direction is determined according to the number of horizontal lines.
-The number of vertical lines in the character is measured, and the number N of vertical divisions is determined according to the number of vertical lines.
(2) In the case of a very small character, the value N may not be achieved. In this case, N division is not necessary. The minimum character division unit is a pixel.
(3) The user (not the image viewing side but the image providing side) can input the confidentiality. And N can be changed according to the sensitivity. For example, when the machine density is high, the division number N is large, and when the machine density is low, the division number N is small.
(4) The image quality of the viewer can be specified by the user (the side providing the image, not the side viewing the image). The division number N can be changed according to the required image quality. For example, in the case of high image quality, the value of the division number N is reduced.

Let Nmax be the maximum value of N obtained above. At the time of image division, all characters are divided into Nmax.
However, it is also possible to change the value of N in the image. In the case of creating Nmax images, all characters may be divided into Nmax. For this reason, when an image is temporarily stored, only the frame of N <Nmax needs to be stored, so that the storage capacity can be reduced. Alternatively, there is an advantage that the load of image division can be reduced.

When the value of N changes in the image, the following display method is used.
(1) Let Nmax be the maximum value of the division number N.
(2) When N = Nmax, they may be displayed in order. For example, frame 1 is time 1 and frame 2 is time 2.
(3) When N <Nmax, it is linked to which frame of N = Nmax each frame is displayed simultaneously.
(4) Nmax images may be generated using the above link information.
(5) If the value of the division number N is a divisor of Nmax, the processing can be performed more efficiently.

Or there is the following as another method (method which does not divide for every character).
(1) The number of character points (or the number of necessary lines) of the input image is measured.
(2) The required number of lines can be converted from the number of character points.
(3) The value of N is changed according to the number of points (number of necessary lines).
(4) Thereby, even when the character is not divided, it is possible to calculate an unreadable division number N. Further, the value of the division number N obtained here can be as small as possible.

Furthermore, the value of N can be changed for each part of the image.
(1) The number of character points in the input image is measured for each line. Determine the value of N in that line.
(2) Alternatively, the input image is divided into blocks, and the number of character points in the block is measured. Determine the value of N in the block.
(3) In the above, special processing is required for handling the boundary pixel when the value of N changes. That is, it is necessary not to select pixels continuously in a frame.

  In the above, although divided horizontally, it may be divided obliquely. In that case, it becomes more difficult to read.

Alternatively, as another method (method without dividing each character), there is the following.
(1) Assume that the image is compressed by transform coding such as JPEG.
(2) Group conversion coefficients into N types. An image obtained by inversely transforming the conversion coefficient of group K is defined as a frame K.
(3) In the case of linear transformation, the original image can be restored by adding the images.
(4) This embodiment can increase the compression rate when each frame is compressed and held. In addition, even if irreversible compression is performed, there is an effect that the original image can be completely restored by addition.
(5) In JPEG, the compression rate can be further increased by grouping so as to be continuous in the zigzag scan order.
(6) The DC component may be further divided in the spatial domain.
(7) It is necessary to assign the DC value appropriately so that each frame does not become a negative value.
(8) The grouping may be performed for each type of transform coefficient, a bit plane, a division method of adding and returning to the original, or other methods.

[Background of the present embodiment]
The background of the present embodiment will be described below.
If the technique of patent document 1 and patent document 2 takes the average value of two images, it will be able to restore a regular image. In the technique described in Patent Document 2, it is written that if a pixel value + α is applied to the entire image, the pixel value + 2α is obtained, so that a regular image cannot be restored. If the value is taken, a regular image can be restored.
In the case of Patent Document 3, if an average value of two images is taken, an image close to a regular image can be restored.
When considering image security, it may be important to be able to read characters written in the image. If a screen dump can restore characters to a readable level, the security function is considered low. In the case of the technique described in Patent Document 1, the technique described in Patent Document 2, and the technique described in Patent Document 3, an image that can be viewed with a viewer can be restored, and thus providing a complete security function is not possible. Can not.
As described above, when the number of divided images is simple (for example, N = 2), a high security effect cannot be obtained.

  When the number N of divided images is increased, the afterimage effect is diminished, so that the displayed image becomes very difficult to see. For example, when the image is divided into N images, the pixel value becomes 1 / N on average. In addition, dark and light pixel values are unevenly distributed in the image. (If an afterimage effect is expected, the pixel value of the pixel displayed at a close time increases, and the pixel value of a pixel displayed at a distant time. Because it becomes smaller). Therefore, when the number N of divided images is large, the display image quality is inevitably lowered. On the other hand, if the number N of divided images is small, there is a high possibility that characters can be read by each divided image alone, and the security function is lowered.

Here, an example of image quality degradation by the technique described in Patent Document 4 will be described with reference to FIG. For example, here, as shown in FIG. 19, the frame is divided into N frames of the first frame to the Nth frame. That is, the first frame is composed of images of the first line, the N + 1th line, the second N + 1 line,..., And the second frame is composed of the images of the second line, the N + 2 line, the second N + 2 line,. The Nth frame is composed of images of the Nth line, the second Nline, the third Nline,.
When these N frames are displayed in order, each line is displayed only once in the N frame, so the pixel value is substantially 1 / N. Such a thin display leads to image quality degradation.
Furthermore, it is assumed that the Nth frame is now displayed. At this time, the luminance of the first frame is small and gradually increases to 2, 3, 4, and the luminance of the Nth frame is the highest. That is, horizontal stripes in units of N lines are generated in the display image.

Therefore, consider reducing the number of N. For example, N = 2. An image is output every other line, but in such a case, there is a possibility that characters can be read. That is, if the number of divided images is small, there is a high possibility that characters can be read by each divided image alone, and the security function is lowered.
Moreover, the technique described in Patent Document 4 does not consider at all what value of N should be selected. Therefore, it is unsuitable for use for the security purpose of making characters unreadable.
Or patent document 4 shows the example which decomposes | disassembles an input image into a color plate. In this case, a relatively beautiful display image can be obtained. Also, since the image decomposed in this example is not beautiful, it becomes meaningless in terms of copyright. However, there is a security problem because data is leaked in the sense of being able to read characters.
As described above, in the technique described in Patent Document 4, the divided images are sequentially displayed to display an image equivalent to the original image, but in reality, an “image equivalent to the original image” is displayed. It is very difficult.
Therefore, it is an issue to improve the security function while reducing the number of divisions as much as possible.

[Problems of this embodiment when compared with the background art]
In the case of the background art described above, there is a problem that a normal image can be acquired by screen dump. This is certainly a problem with copyrights.
However, the viewpoint of the problem of the present embodiment is different. That is, from the viewpoint of security, the problem is that the image can be acquired to such an extent that the characters of the original image can be read. This is because if an image can be acquired to such an extent that characters can be read, it will be a security problem.
Therefore, it is an object to be able to ensure security effectively even if the display screen is screen dumped.

[First Embodiment]
Various specific embodiments will be described below with reference to the drawings.
FIG. 1 is a conceptual module configuration diagram of the first embodiment. As shown in FIG. 1, the first embodiment includes a font rasterizer 11, a character division module 12, an image composition module 13, and an image display module 14. The font rasterizer 11 is connected to the character division module 12. The character division module 12 is connected to the font rasterizer 11 and the image composition module 13. The image composition module 13 is connected to the character division module 12 and the image display module 14. The image display module 14 is connected to the image composition module 13.
The module generally refers to a component such as software or hardware that can be logically separated. Therefore, the module in the present embodiment indicates not only a module in a program but also a module in a hardware configuration. Therefore, the present embodiment also serves as an explanation of a program, an apparatus, a system, and a method. In addition, the modules correspond almost one-to-one with the functions. However, in mounting, one module may be composed of one program, or a plurality of modules may be composed of one program. A plurality of programs may be used. Further, the plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers in a distributed or parallel environment. Hereinafter, “connection” includes not only physical connection but also logical connection.
In addition to the case where the apparatus here is realized by an apparatus including a single casing, a system configured by connecting a plurality of apparatuses, computers, hardware, and the like via a network or the like is also included.
Hereinafter, a document file will be mainly exemplified and described as an object to be displayed (digital information, such as an image file and a text file).

First, a document file is input. Specifically, a document file indicates a file such as Word (trademark) or Excel (trademark), or PDF (Portable Document Format) (registered trademark), DocuWorks (registered trademark), PS (PostScript), or the like. Yes. Assume that a character code is included. Images, graphics, and the like may be included.
The font rasterizer 11 interprets the input document file and converts the character code into a bitmap image. For example, as shown in FIG. 2, the character code “A” (FIG. 2A) is displayed on an image (FIG. 2B) in order to display it on a display or the like. The converted bitmap image is passed to the character division module 12.

The character division module 12 divides the rasterized character (bitmap image) into N areas. FIG. 3 shows a case where N = 4. That is, the bitmap image “A” (FIG. 3A) is divided into four regions by dividing the bitmap image at one vertical position and one horizontal position (FIG. 3B). The divided characters are transferred to the image composition module 13.
The image composition module 13 selects one region from the divided N regions and composes an image. For example, as shown in FIG. 4, a document file composed of three characters A, B, and C is input and four images are generated. That is, in FIG. 4A, the font rasterizer 11 inputs the character code “A B C” in the document file and is rasterized, that is, imaged. FIG. 4B shows a state where each character is divided into four by the character dividing module 12. 4C to 4F show four images (frames) synthesized by the image synthesis module 13. FIG. 4C shows an image 1 (first frame) synthesized by selecting the upper left area of each character. Similarly, FIG. 4D is an image 2 (second frame) obtained by selecting and synthesizing the upper right area of each character. FIG. 4E shows an image 3 (third frame) synthesized by selecting the lower left area of each character. FIG. 4F shows an image 4 (fourth frame) synthesized by selecting the lower right region of each character.
When the images 1 to 4 are added (or a logical sum operation), the original “A B C” image can be restored. It is very difficult to interpret the original characters with only each frame in FIG.

Next, the image display module 14 will be described.
The image display module 14 first displays the first frame. Next, the second frame is displayed (at the fastest possible speed), and the third, fourth,... Are displayed, and the Nth frame is displayed. Next to the Nth frame, the display is returned to the first, second,... (In the above, frames from 1 to N are displayed in order, but the display order may be any order. All frames 1 to N need only be displayed).
In this way, by changing the display at the fastest possible speed, an image equivalent to the input still image can be displayed due to the afterimage effect. If possible, it is desirable to change the display frame at the refresh rate of the display connected to the display PC. The speed here may be such a speed that the above-mentioned moving image display is felt as a still image by human eyes.
Even if a screen dump is performed during display, only one of FIGS. 4C to 4F is copied, so even if it is printed, it cannot be read.

[Second Embodiment]
In the first embodiment, the same position is set for each character such that the first frame is the upper left part and the second frame is the upper right part. However, the selection position may be changed for each character. Further, the selection position may be changed randomly. Furthermore, even if it is the same character, you may change a selection position for every flame | frame.
Furthermore, the number of frames may be larger than the division number N. In that case, there is a frame in which the divided portions overlap within one character.

[Third Embodiment]
FIG. 5 is a conceptual module configuration diagram of the third embodiment. As shown in FIG. 5, the third embodiment includes a character rectangle extraction module 51, a character division module 12, an image composition module 13, and an image display module 14. The character rectangle extraction module 51 is connected to the character division module 12. The character division module 12 is connected to the character rectangle extraction module 51 and the image composition module 13. The image composition module 13 includes the character division module 12 and the image display module. 14 and the image display module 14 is connected to the image composition module 13. Note that the same type of modules as those in the first embodiment are denoted by the same reference numerals, and redundant description is omitted.
In the first embodiment, the output image of the font rasterizer 11 is divided. The character rectangle extraction module 51 according to the third embodiment uses an input document file as an image format such as TIFF (Tagged Image File Format), GIF (Graphics Interchange Format), JPEG (Joint Photographic Experts Group) CR, or the like. A process of extracting a character part in a rectangle used in a technique such as Optical Character Recognition) is performed. Thereafter, each extracted character image may be divided as in the first embodiment.

[Fourth Embodiment]
FIG. 6 is a conceptual module configuration diagram of the fourth embodiment. As shown in FIG. 6, the fourth embodiment includes a font rasterizer 11, a character division module 12, an image composition module 13, an image storage module 61, and an image display module 62. The font rasterizer 11 is connected to the character division module 12. The character division module 12 is connected to the font rasterizer 11 and the image synthesis module 13. The image synthesis module 13 is connected to the character division module 12 and the image storage module 61. The image storage module 61 is connected to the image composition module 13 and the image display module 62, and the image display module 62 is connected to the image storage module 61. Note that the same type of modules as those in the first embodiment are denoted by the same reference numerals, and redundant description is omitted.
Since the divided frames are used for display many times, it is advantageous to store them in the image storage module 61. Compressing frames during storage is useful for reducing the capacity of the image storage module 61 and reducing the transmission band from the image storage module 61 to the image display module 62. As a compression format, each frame may be regarded as an independent still image and still image encoding such as JPEG may be performed. Alternatively, the frames may be combined and compressed as a moving image. If it can be handled as a moving image, it can be browsed by using a widely used moving image viewer.

[Fifth Embodiment]
Although the document file is input in the first embodiment, the storage format in the fourth embodiment can be handled as it is as a still image file format.
The portion of the divided image of the fourth embodiment may be connected via a network so that it can be used in a streaming manner, or can be stored as some image file.

[Sixth Embodiment]
Although all the frames are displayed in the above embodiment, some frames may not be displayed. For example, a part of the image can be made invisible.
More specifically, an application can be made such that some password is prepared, the password is notified when payment is confirmed, and all images are displayed.

[Seventh Embodiment]
An example in which the number of divisions is changed in the image portion is shown.
[Seventh embodiment, changing the number of divisions according to character type]
For example, in the case of Chinese characters, it is harder to read if the number of divisions is increased. For non-kanji characters, the number of divisions is not as large as kanji characters.
In this way, the processing load required for character division can be reduced.
This will be described with reference to FIGS. FIG. 7 shows a case where the character “A” (English character) is divided, and FIG. 8 shows a case where the character “Chinese” (kanji) is divided.
FIG. 7A shows an image obtained by rasterizing “A”, FIG. 7B shows an example in which the image is divided into four, and FIGS. 7C to 7F show the divided images. It is. Thus, it can be seen that the character “A” is almost unreadable in four divisions.
On the other hand, FIG. 8A is an image obtained by rasterizing “Kan”, and FIGS. 8C to 8F are images divided into four parts. As shown in FIGS. 8C to 8F, when the character is “Chinese”, it can be read to some extent in four divisions.
Therefore, in the case of Chinese characters, the legibility is reduced by increasing the number of divisions. For example, the case where the number of divisions is 8 is shown in FIGS. 8B and 8G to 8N.
In this way, the number of divisions can be changed according to the character type (alphanumeric characters, hiragana, katakana, kanji, etc.).

[Seventh embodiment, change the number of divisions according to the font]
The number of divisions can be changed according to the font. For example, a font with words has many features, so the number of divisions is increased. Or you may change with the difference of emphasis (style), such as italic and bold.

[Seventh embodiment, the number of divisions is changed by the number of horizontal lines and vertical lines]
The number of divisions can be changed by the number of horizontal lines and vertical lines constituting the character.
First, the number of horizontal lines constituting the character is measured. Let M be the number of horizontal lines. At this time, the horizontal division number N is a function of M. For example,
N = round (α × M), where N ≧ 1.
Further, if the number of vertical lines is M and the number of divisions in the vertical direction is N, the value of N in this case can be expressed by a similar expression.
An example of α = 1 is shown. For example, assume that a character as shown in FIG. In this case, since there are three horizontal lines, the horizontal line is divided into three. Since there are two vertical lines, the vertical line is divided into two. The division result is shown in FIG.
As a horizontal line or vertical line measurement method, for example, a profile of pixel values in the horizontal direction or the vertical direction may be taken. This will be described with reference to FIG. In FIG. 10A, for example, the number of vertical lines is measured. When the number of black pixels at a certain X value is measured on the X axis, a graph as shown in FIG. 10B can be obtained. At this time, a portion where the absolute value or ratio of the number of black pixels is larger than a predetermined threshold may be measured as a line. The horizontal line can be similarly measured.

[Seventh embodiment, when the user specifies N number]
It is also possible to specify the sensitivity of the image on the side that generates and provides the image.
For example, when the sensitivity is high, N is increased. When the sensitivity is low, N can be reduced to improve the display image quality.
Alternatively, the display image quality can be specified on the side of generating and providing the image. When it is desired to improve the display image quality, N can be reduced.

[Seventh embodiment, coping method when the number of divisions N changes in an image]
The example in which the value of the division number N changes in the image is shown above. A display method in this case will be described.
For example, an example in which N = 2 and N = 4 coexist is shown. As shown in FIG. 11, a document file (FIG. 11A) including the characters “A Han” is input. It is assumed that “A” is divided into two (FIG. 11B) and “Han” is divided into four (FIG. 11C).
At this time, regarding “A”, there may be two frames. For “Han”, 4 frames are required. Therefore, a link condition as shown in FIG. 12 is created. That is, any one of the frame numbers (1, 2) of “A” may be linked to the frame numbers (1, 2, 3, 4) of “Han”. That is, the entire frame number 1 is linked to the frame number 1 of “A” and the frame number 1 of “Kan”, and the entire frame number 2 is the frame number 2 of “A” and the frame number 2 of “Kan”. The entire frame number 3 is linked to the frame number 1 of “A” and the frame number 3 of “Kan”, and the entire frame number 4 is linked to the frame number 2 of “A” and “Kan”. Is linked to frame number 4.
Further, the frame number of the character having the maximum number of frames is made the same as the entire frame number.

Furthermore, there are two types of display methods, “method 1” and “method 2”.
"Method 1"
In this method, four entire frames are created and displayed in order. That is, as shown in FIG. 13, frame 1 is a combination of frame 1 of “A” and frame 1 of “Han” (FIG. 13A), and frame 2 is a frame of “A” and frame 2 of “Han”. Frame 2 is synthesized (FIG. 13B), frame 3 is “A” frame 1 and “Han” frame 3 (FIG. 13C), and frame 4 is “A”. 2 and the frame 4 of “Han” (FIG. 13D).
"Method 2"
This is a method for generating an image of each frame in each display.
Once, six divided images in FIGS. 14A to 14F are accumulated. That is, FIGS. 14A and 14B each store a two-divided image “A”, and FIGS. 14C to 14F store four-divided images “Kan”.
And when creating the whole frame, it carries out as follows.
When the entire frame 1 is created, an image is created from the frame A1 (FIG. 14A) and the frame Han 1 (FIG. 14C).
When creating the entire frame 2, an image is created from the frame A2 (FIG. 14B) and the frame Han 2 (FIG. 14D).
When the entire frame 3 is created, an image is created from the frame A1 (FIG. 14A) and the frame Han 3 (FIG. 14E).
When the entire frame 4 is created, an image is created from the frame A2 (FIG. 14B) and the frame 4 (FIG. 14F).
By doing so, it is possible to eliminate waste of accumulating the same frame A1 and frame A2 twice.
As described above, it is only necessary to link the display of characters having other division numbers to the one having the maximum number of frames (number of divisions). For linking, it is convenient if the other division number is a divisor of the maximum value of the number of frames (division number). This is because when the number is a divisor, the number of display times of each frame can be made the same.
However, although the display image quality deteriorates, it does not have to be a divisor.

[Eighth Embodiment]
Patent Document 4 describes an example in which only one line is displayed in N lines within one frame. Such a method cannot control the legibility of characters.
For example, assume that the character “A” is generated as an 8-line image as shown in FIG. 15A (corresponding to a very small character).
In such a case, it is assumed that N = 2. That is, specific images are as shown in FIGS. As can be seen from the figure, it is legible when N = 2.
Consider N = 4. That is, specific images are as shown in FIGS. As can be seen from the figure, the legibility can be lowered by increasing N.

Next, the case of a slightly larger character will be described.
For example, it is assumed that the character “A” is generated as a 16-line image as shown in FIG.
In such a case, as in FIGS. 15D to 15G, it is assumed that N = 4. That is, specific images are as shown in FIGS. As can be seen from the figure, there is legibility even when N = 4.
That is, N must be increased for large characters. It can also be seen that N may be reduced for small letters.
Here, it carries out as follows.
That is, it is considered that the reason why the legibility is lost even when N is small when the character is small is that the relative thickness of the band that hides the character is large. Therefore, it is assumed that the readability of the input character can be eliminated by hiding the input character with a band whose width is K times the height of the input character.
At this time, if the character is composed of P lines, N = P × K + 1 may be used. Or it is good also as N = PxK etc. as approximation.
For example, K = 3/8. If the character is composed of 8 lines, N = 4. If the character is composed of 16 lines, N = 7.
Therefore, in this embodiment, an example of a method for automatically determining the value of N in order to control the legibility of characters is shown.
(1) A character is extracted for each line, and the number of lines necessary to display the character is measured. If there are multiple characters, the maximum number of necessary lines is calculated. Let P be the number of necessary lines acquired here.
(2) If the value of P is obtained, the value of N can be obtained using the equation N = P × K + 1.
By doing in this way, since optimal N can be calculated | required for every part of an image, display image quality can be improved.

When the control is performed as described above, the value of N may be changed in the image. At this time, it is necessary to control the extraction lines not to be continuous within one frame. In a certain frame, one image is selected from N images. What is necessary is just to make it the line to extract not continue at the time of this selection.
In the above, the image is divided in the horizontal direction and the value of N is determined for each divided image. However, the division may be performed in the vertical direction, or two-dimensionally divided into blocks. Alternatively, the shape of the division may not be rectangular.

[Ninth Embodiment]
The above embodiment is an example of dividing on the space axis.
It is also possible to perform linear conversion and perform image division on the conversion coefficient axis. Since it is not division on the space axis, it is possible to obtain an effect of making the image difficult to read.
Further, when compression is performed when a frame is stored, since there is a high affinity between holding a conversion coefficient and compressing, there is an effect that the compression rate can be increased while maintaining image quality.

The principle will be described below.
It is assumed that the linear transformation is a two-dimensional DCT.
Here, an 8 × 8 pixel block is considered as a 64-dimensional pixel value vector s. The DCT transformation can be considered as “transformation for obtaining a 64-dimensional transformation coefficient vector S from a 64-dimensional pixel value vector s using a 64 × 64 DCT matrix D”. This relationship can be written as equation (1).

For example, the pixel position of an 8 × 8 block is (x, y), the two-dimensional frequency is (u, v), the conversion coefficient is Svu, and the pixel value is syx. However, (x, y) and (u, v) indicate (column number, row number). The 8 × 8 DCT forward conversion can be expressed by the equation (2).

This inverse transformation can be expressed by the equation (3).

Furthermore, the elements in the vector s are (x0, y0), (x1, y1),. . . , (X63, y63) in order, and the elements in the vector S are (u0, v0), (u1, v1),. . . , (U63, v63), the element Dts of t rows and s columns of the matrix D can be obtained by the equation (4).

Further, the inverse transformation can be performed by the equation (5).

例えば、Ｓ_０はＤＣ成分のみをＳからコピーして、その他のＡＣ成分はゼロとなるベクトルであり、Ｓ_１はＡＣ成分のみをＳからコピーして、ＤＣ成分はゼロとなるベクトルであるとする。 Here, the transform coefficient vector S is divided as shown in Equation 6.

For example, S ₀ is a vector in which only the DC component is copied from S and the other AC components are zero, and S ₁ is a vector in which only the AC component is copied from S and the DC component is zero. To do.

すなわち、画像ベクトルｓを、二つの画像ベクトルＤ^−１Ｓ_０とＤ^−１Ｓ_１に分解できたことになる。このようにして分解を行えばよい。 Here, since DCT is a linear transformation, it can be expressed by the equation (7).

That is, the image vector s can be decomposed into two image vectors D ⁻¹ S ₀ and D ⁻¹ S ₁ . The decomposition may be performed in this way.

The advantage of this scheme is that the two transform coefficient vectors S ₀ and S ₁ can be directly JPEG compressed. Consider JPEG compression of a divided image. Since the spatially divided image is an image having many edge components, it is difficult to perform JPEG compression. In addition, when lossy compression such as JPEG is performed, the image quality deteriorates.
However, as described above, when division is performed on the transform coefficient axis, it is possible to obtain a compression rate and image quality that are substantially the same as the compression rate before division.

In the above description, the number of divisions is 2, but the number of divisions may be two or more. The AC component may be further divided. In order to increase the JPEG compression rate, the AC components may be selected so as to be continuous in the zigzag scan order.
The improved scheme is further illustrated.
In the above description, the image vector is obtained by adding two image vectors D ⁻¹ S ₀ and D ⁻¹ S ₁ . However, the problem is that D ⁻¹ S ₁ is not always positive. Therefore, the equation 8 is used.

In this way, the divided image can always be positive.
Alternatively, a large value should be given originally. For example, consider a bit plane _{S 0.} Takes the most significant 1 of the bit planes. Data created by setting other values as 0 can be set as S ₀₁ .

Further, in the above, the DC component image is in the same frame. In this way, the image reduced to 1/8 in the vertical and horizontal directions becomes one frame, which may be legible.
Therefore, it is also effective to divide the DC component image on the space axis. The AC component image may be divided on the space axis.
For example, a staggered pattern (checkered pattern) is selected on the space axis.
The divided image of the DC component is obtained by replacing the pixel value in the 8 × 8 block with the average value of the 8 × 8 block (see FIG. 17A).
Such images may be legible. Therefore, this image is further divided into two as shown in FIGS. 17B and 17C. The hatched portion is the selected image portion.
Of course, the number of divisions may be two or more.

[Tenth embodiment]
In the above embodiment, the example in which each character is divided into N images and a still image is displayed in each of N frames has been mainly shown. Other methods may be used to make it difficult to read the text described in each frame. Next, a tenth embodiment will be described.

  It is assumed that character images that can be extracted are arranged in the input image. The character image in the input image is scanned, for example, in raster order (main scanning order). The character appearing in the Xth is drawn only in the (X mod N) th frame. However, the frame number starts from 0, and (X mod N) indicates the remainder when X is divided by N. In this way, the number of characters displayed in each frame is 1 / N of the number of characters in the input image, so the legibility can be very low. As a specific implementation example, it can be realized by sequentially distributing the extracted characters to different frames and returning to the first frame when the last frame is reached.

Such character distribution has an advantage that the processing load can be reduced as compared with the character decomposition performed in the above embodiment.
When a character image is generated by the font rasterizer 11 as described in the first embodiment, it is only necessary to draw in a different frame for each character drawing command. For this reason, the processing load can be further reduced.

The rule for distributing each character to each frame may be a method of sequentially distributing as described above, or may be randomly distributed.
One character may be distributed only to one frame, or may be distributed to a plurality of frames.

  Character distribution as described in this embodiment may be combined with character division as described in other embodiments.

  Furthermore, it is not always necessary to distribute characters by character. You may make it distribute to each frame according to a word or a character kind. For example, if it is an English sentence, you may distribute for every word. If it is Japanese, it may be distributed to kana and kanji. Furthermore, since the meaning is easy to take in the case of kanji, processing such as distributing to each character and making all kana into one frame is also possible.

  Further, it may be distributed to each frame according to the character attributes. For example, it is possible to process that light characters are distributed to a small number of frames and dark characters are distributed to a large number of frames.

  Furthermore, in the above description, each character is distributed to the frame. However, the character is disassembled, for example, for each black pixel block (for example, the characters “bright” are black pixels “day” and “month”. It may be distributed in a lump). By doing so, it is not necessary to extract characters from the input image and each black pixel block is extracted, so that the processing load can be further reduced. Moreover, the obfuscation in a frame can be improved.

  When a character image is generated by the font rasterizer 11 as described in the first embodiment, the line segment may be drawn in a different frame for each line drawing command.

  A hardware configuration example according to the embodiment will be described with reference to FIG. The configuration illustrated in FIG. 18 is an image processing system configured by, for example, a personal computer (PC), and illustrates a hardware configuration example including a data reading unit 417 such as a scanner and a data output unit 418 such as a printer. . This hardware configuration is also applied to other embodiments.

  A CPU (Central Processing Unit) 401 describes execution sequences of various modules described in the above-described embodiments, that is, the font rasterizer 11, the character division module 12, the image composition module 13, the image display module 14, and the like. The control unit executes processing according to the computer program.

  A ROM (Read Only Memory) 402 stores programs used by the CPU 401, operation parameters, and the like. A RAM (Random Access Memory) 403 stores programs used in the execution of the CPU 401, parameters that change as appropriate during the execution, and the like. These are connected to each other by a host bus 404 including a CPU bus.

  The host bus 404 is connected to an external bus 406 such as a PCI (Peripheral Component Interconnect / Interface) bus via a bridge 405.

  A keyboard 408 and a pointing device 409 such as a mouse are input devices operated by an operator. The display 410 includes a liquid crystal display device or a CRT (Cathode Ray Tube), and displays various types of information as text and image information.

  An HDD (Hard Disk Drive) 411 includes a hard disk, drives the hard disk, and records or reproduces a program executed by the CPU 401 and information. The hard disk stores input document files, divided images, and the like. Further, various computer programs such as various other data processing programs are stored.

  The drive 412 reads data or a program recorded on a mounted removable recording medium 413 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, and the data or program is read from the interface 407 and the external bus 406. , And supplied to the RAM 403 connected via the bridge 405 and the host bus 404. The removable recording medium 413 can also be used as a data recording area similar to a hard disk.

  The connection port 414 is a port for connecting the external connection device 415 and has a connection unit such as USB, IEEE1394. The connection port 414 is connected to the CPU 401 and the like via the interface 407, the external bus 406, the bridge 405, the host bus 404, and the like. The communication unit 416 is connected to a network and executes data communication processing with the outside. The data reading unit 417 is a scanner, for example, and executes document reading processing. The data output unit 418 is a printer, for example, and executes document data output processing.

  Note that the hardware configuration illustrated in FIG. 18 illustrates one configuration example, and the present embodiment is not limited to the configuration illustrated in FIG. 18, and is a configuration capable of executing the modules described in the present embodiment. I just need it. For example, some modules may be configured by dedicated hardware (for example, ASIC), and some modules may be in an external system and connected via a communication line. A plurality of systems shown in FIG. 5 may be connected to each other via communication lines so as to cooperate with each other. It is also incorporated in information appliances, mobile phones, copiers, fax machines, scanners, printers, multifunction devices (also called multifunction copiers, which have functions such as scanners, printers, copiers, and fax machines). May be.

In addition, about the program demonstrated, it is also possible to store in a recording medium, and it can also be grasped | ascertained as the following invention, for example in that case.
On the computer,
A character dividing function for dividing each character in the information output as an image into N (N is a natural number of 2 or more) image portions;
A computer-readable recording of an image composition program, wherein an output image composition function for selecting one of N parts of each character divided by the character division function and composing an output image is realized. Medium.

On the computer,
An image input function for inputting a still image divided into a plurality of frames;
A computer-readable recording medium on which an image display program is recorded, which realizes an image display function for displaying individual frames input by the image input function at the same position on a display at different times.

On the computer,
A division function for dividing a still image into a plurality of frames;
A computer-readable recording medium on which an image encoding program is recorded, which realizes an encoding function for encoding a frame divided by the dividing function as a moving image file.

On the computer,
An image division function that linearly transforms an input image, divides a transform coefficient used in the linear transformation, and further performs image division by performing inverse transform using the divided transform count;
A computer-readable recording medium storing an image composition program, wherein an output image composition function for selecting one of a plurality of image parts divided by the image division function and composing an output image is realized.

On the computer,
A division function for dividing the input image into N images (N is a natural number of 2 or more);
An output image synthesis function for synthesizing N output images from the images divided by the division function;
An image display program for realizing an image display function for displaying N output images synthesized by the output image synthesis function as individual frames and displaying the frames at the same position on the display at different times is recorded. Computer-readable recording medium.
It can also be grasped as the following invention.
[1] Image input means for inputting a still image divided into a plurality of frames;
Image display means for displaying individual frames input by the image input means at the same position on the display at different times
An image display device comprising:
[2] Dividing means for dividing a still image into a plurality of frames;
Encoding means for encoding the frame divided by the dividing means as a moving image file
An image encoding apparatus comprising:
[3] Line number obtaining means for obtaining the number of lines necessary for displaying characters in the image;
Division number calculation means for calculating the division number N from the necessary number of lines obtained by the line number acquisition means.
Further comprising
An image extracted from only one line in N lines is defined as one frame.
The image display device according to [1], wherein
[4] The division number N is calculated by adding some constant (a constant including 0) to the product of the number of lines necessary to display the character and the relative thickness of the band that hides the character.
[3] The image display device according to [3].
[5] When the value of the division number N in the image changes, adjacent lines are not extracted within one frame.
[3] The image display device according to [3].
[6] An image dividing unit that linearly transforms an input image, divides the transform coefficient used at the time of the linear transform, and further performs image division by performing inverse transform using the divided transform count;
Output image combining means for selecting one from a plurality of image portions divided by the image dividing means and combining the output images
An image composition apparatus comprising:
[7] The linear transformation is DCT, and JPEG compression is performed on the divided transformation coefficients.
The image synthesizing device according to [6].
[8] In the division by the image dividing unit, the division is performed by the DC component and other AC components.
[7] The image synthesizing device according to [7].
[9] The linear transformation is DCT, and when the AC component is further divided, it is divided so that the JPEG zigzag scan is continuous.
The image synthesizing device according to [6].
[10] The DC component value is further divided so that the image divided by the AC component does not have a negative value, and is given to the image obtained from the AC component value.
The image synthesizing device according to [8] or [9].
[11] The image divided by the DC component is further divided on the space axis.
The image synthesizing device according to [8], [9], or [10].
[12] Dividing means for dividing the input image into N images (N is a natural number of 2 or more);
Output image combining means for combining N output images from the images divided by the dividing means;
Image display means for displaying the N output images synthesized by the output image synthesizing means as individual frames and displaying the frames at the same position on the display at different times.
An image display device comprising:
[13] The image display device according to [12], wherein the image divided by the dividing unit is distributed by character.
[14]
An image input function for inputting a still image divided into a plurality of frames;
Image display function for displaying individual frames input by the image input function at the same position on the display at different times
An image display program characterized by realizing the above.
[15] On the computer,
A division function for dividing a still image into a plurality of frames;
Encoding function for encoding frames divided by the dividing function as a moving image file
An image encoding program characterized by realizing the above.
[16]
An image division function that linearly transforms an input image, divides a transform coefficient used in the linear transformation, and further performs image division by performing inverse transform using the divided transform count;
Output image composition function for selecting one of a plurality of image portions divided by the image dividing means and combining the output images
An image composition program characterized by realizing the above.
[17] To the computer,
A division function for dividing the input image into N images (N is a natural number of 2 or more);
An output image synthesis function for synthesizing N output images from the images divided by the division function;
Image display function for displaying N output images synthesized by the output image synthesis function as individual frames and displaying the frames at the same position on the display at different times
An image display program characterized by realizing the above.

The “computer-readable recording medium on which a program is recorded” refers to a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum, such as “DVD-R, DVD-RW, DVD-RAM,” and DVD + RW. Standards such as “DVD + R, DVD + RW, etc.”, compact discs (CDs), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), etc. MO), flexible disk (FD), magnetic tape, hard disk, read only memory (ROM), electrically erasable and rewritable read only memory (EEPROM), flash memory, random access memory (RAM), etc. It is.
The program or a part of the program can be recorded on the recording medium and stored or distributed. Also, by communication, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a wired network used for the Internet, an intranet, an extranet, etc., or wireless communication It can be transmitted using a transmission medium such as a network or a combination of these, and can also be carried on a carrier wave.
Furthermore, the above program may be a part of another program, or may be recorded on a recording medium together with a separate program.

It is a block diagram which shows the example of 1 structure of 1st Embodiment. It is explanatory drawing of the process which a font rasterizer performs. It is explanatory drawing of the process which a character division module performs. It is explanatory drawing of the process which an image synthetic | combination module performs. It is a block diagram which shows the example of 1 structure of 3rd Embodiment. It is a block diagram which shows the example of 1 structure of 4th Embodiment. It is explanatory drawing of the character division in 7th Embodiment. It is explanatory drawing of the character division in 7th Embodiment. It is explanatory drawing of the process which changes the division | segmentation number with a vertical line and a horizontal line. It is explanatory drawing of the process which changes the division | segmentation number with a vertical line and a horizontal line. It is explanatory drawing of the display process in case a division | segmentation number changes. It is explanatory drawing of the relationship between the frames in a display when the number of divisions changes. It is explanatory drawing of the frame in a display when the number of divisions changes. It is explanatory drawing of the frame in a display when the number of divisions changes. It is explanatory drawing about the legibility by a division | segmentation number. It is explanatory drawing about the legibility by a division | segmentation number. It is explanatory drawing in the case of dividing | segmenting an image on a conversion coefficient axis | shaft. And FIG. 11 is an explanatory diagram illustrating an example of a hardware configuration of a computer that implements an embodiment. It is explanatory drawing of a prior art example.

Explanation of symbols

DESCRIPTION OF SYMBOLS 11 ... Font rasterizer 12 ... Character division module 13 ... Image composition module 14 ... Image display module 51 ... Character rectangle extraction module 52 ... Character division module 53 ... Image composition module 54 ... Image display module 61 ... Image storage module 62 ... Image display module

Claims (11)

Character dividing means for dividing each character in the information output as an image into N (N is a natural number of 2 or more) image portions;
Output image combining means for selecting one from N parts of each character divided by the character dividing means and generating a plurality of output images by combining the selected character parts ;
Display means for repeatedly displaying a plurality of output images generated by the output image composition means on a display device;
Screen dumping means for screen dumping the image displayed on the display device and storing it as bitmap information
Comprising
The image composition apparatus characterized in that the bitmap information stored by the screen dump means is one output image generated by the output image composition means . Rasterization means for rasterizing the character code when the input information includes the character code
Further comprising
The character dividing unit divides the character rasterized by the rasterizing unit into N pieces.
Image synthesizing apparatus according to claim 1, characterized in that. 2. The image synthesizing apparatus according to claim 1, further comprising means for extracting the character image from the bitmap image, wherein the input information includes a bitmap image or the input information is a bitmap image. . The image synthesizing apparatus according to claim 1, wherein the output image synthesizing unit selects a random number for each character when selecting one from N parts of each character. The image synthesizing apparatus according to claim 1, wherein the character dividing unit changes a value of N according to a character type of each character. A line number measuring means for measuring the number of horizontal lines or vertical lines;
2. The image composition according to claim 1, further comprising: a division number determining unit that determines a horizontal or vertical division number N from the number of horizontal lines or vertical lines measured by the line number measuring unit. apparatus. Division number maximum value obtaining means for obtaining the maximum value of the division number N;
Means for determining link information as to which frame each divided image of each image portion corresponds to;
The image synthesizing apparatus according to claim 1, further comprising a frame generation unit configured to generate a frame according to the maximum value acquired by the division number maximum value acquisition unit. Division number maximum value obtaining means for obtaining the maximum value of the division number N;
Link information determining means for determining link information as to which frame each divided image of each image portion corresponds to;
Means for storing each divided image of each image portion;
When generating a frame that is equal to or greater than the maximum value of the number of divisions N acquired by the division number maximum value acquisition unit, extract each divided image of each image portion from the link information determined by the link information determination unit, The image synthesizing apparatus according to claim 1, further comprising means for generating a frame. A sensitivity input means for inputting the sensitivity;
The image composition apparatus according to claim 1, further comprising: a division number calculation unit that calculates a division number N from the confidentiality input by the confidentiality input unit. Display image quality input means for inputting display image quality;
The image composition apparatus according to claim 1, further comprising: a division number calculation unit that calculates a division number N from the display image quality input by the display image quality input unit. On the computer,
A character dividing function for dividing each character in the information output as an image into N (N is a natural number of 2 or more) image portions;
An output image composition function for selecting one of N parts of each character divided by the character division function and generating a plurality of output images by composing the selected character parts ;
A display function for repeatedly displaying a plurality of output images generated by the output image synthesis function on a display device;
Screen dump function for screen dumping the image displayed on the display device and saving it as bitmap information
Realized,
The image composition program , wherein the bitmap information stored by the screen dump function is one output image generated by the output image composition function .

Images