KR101797035B1 - Method for converting overlaying area into 3D image and apparatus thereof - Google Patents

Abstract

A depth map for displaying a perspective view is generated from the input monocular image, an overlay area included in the inputted monocular image is detected, and a depth value in the depth map is corrected to a uniform value for the overlay area detected And generating a binocular image based on the corrected depth map.

Description

TECHNICAL FIELD [0001] The present invention relates to a 3D image conversion method and apparatus for an overlay area,

The present invention relates to a 3D image conversion method for an overlay area, and more particularly, to a 3D image conversion method for preventing a distortion phenomenon by allowing an overlay area to have a uniform depth sense in converting to a 3D image.

The most important factor that human beings sense three-dimensionally is the spatial difference in the left / right retina due to the observation of one object in different directions from the left eye and right eye. In order to make such a difference in a two-dimensional plane display device, a viewer can feel that a three-dimensional image is being viewed by displaying different images, i.e., a stereoscopic image, in the left and right eyes.

Such a three-dimensional image can be generated by using a plurality of cameras at the time of production, but it is also possible to convert an existing two-dimensional image into a three-dimensional image in the future. In this 3D image conversion technology, the left eye and the right eye are separately generated in consideration of the binocular disparity, and then the combined images are reproduced. The viewer wears a shutter and a polarizing glasses to separate the image of the left eye and the image of the right eye By observing it, I feel that I see a 3D image.

However, in the conventional 3D image conversion technology of the caption area, there is no separate processing method for the caption area included in the 2D image. However, when the metadata about the caption is added to the image data and received, Data is also used to coerce the subtitle area into 2D.

However, since the caption area is coercively converted to 2D, after the 3D image conversion, disturbance occurs due to the discontinuous depth sense of the caption area and the surrounding background, or distortion occurs such that the caption area is displayed behind the background image This leaves the audience with tiredness.

An object of the present invention is to provide a method and apparatus for detecting an overlay area for a general 2D image having no metadata for an overlay area and then uniformly assigning a depth value to the overlay area, The present invention provides a 3D image conversion method and apparatus for an overlay area that reduces viewing fatigue due to a 3D effect of an overlay area and prevents discontinuous depth sensing of an overlay area and a surrounding background.

According to an aspect of the present invention, there is provided a method of converting a 3D image of an overlay region, the method comprising: generating a depth map representing a perspective from an input monocular image; Detecting an overlay area included in the input monocular image; Correcting a depth value in the depth map for at least one of the detected overlay area and background image; And generating a binocular image based on the corrected depth map.

According to another embodiment of the present invention, the correcting step corrects the value to a value approximate to the depth value assigned to the peripheral area of the detected overlay area.

According to another embodiment of the present invention, the correcting step may include searching at least one depth value for a background image located at a boundary portion of the detected overlay area; Calculating an average value of the at least one depth value searched; And uniformly assigning the calculated average value to the depth value of the overlay area.

According to another embodiment of the present invention, the step of detecting the overlay area extracts an overlay area by analyzing edges and color components in the input monocular image.

According to another embodiment of the present invention, the step of generating a binocular image may include the steps of: calculating a binocular disparity from a completed depth map by reflecting a correction value for the overlay area to generate a binocular image in the left and right eyes;

According to another embodiment of the present invention, the step of detecting the overlay area is performed based on the positional information of the overlay area, and the positional information of the overlay area may include coordinates indicating the position of the overlay area, Bitmap information indicating the location.

According to another embodiment of the present invention, the step of correcting further comprises the step of determining whether to perform the correction based on at least one of the position, size and movement of the overlay area, Step is performed only when it is determined to perform the correction as a result of the determination.

According to another embodiment of the present invention, the correcting step corrects all the objects of the background image to have the same depth value.

According to another embodiment of the present invention, the correcting step corrects the difference between the depth values of each of the objects of the background image to be reduced.

According to another embodiment of the present invention, the step of correcting may further include a step of correcting a depth value of the background image by a predetermined depth from an average value of depth values of objects of the background image, Is set as the depth value of the overlay area.

According to another embodiment of the present invention, the correcting step sets the depth value at the center of the overlay area or the depth value at the boundary of the overlay area as the depth value of the entire overlay area.

According to another embodiment of the present invention, there is further provided a method for performing filtering on the overlay area to remove a difference between a depth value of the overlay area and a depth value of the background image after the correction is performed .

According to another embodiment of the present invention, the correcting step is performed using a depth value obtained by applying weights to depth values of the background image and the overlay area, respectively.

According to another embodiment of the present invention, the step of correcting may further include setting one of a minimum value, a maximum value, and an average value of a depth value of each of the plurality of overlay areas, Set the depth value.

According to another embodiment of the present invention, the correcting step sets a depth value input from a user as a depth value of the overlay area.

According to another embodiment of the present invention, the step of generating the binocular image is performed by referring to only the pixel values in the background image without referring to the pixel values in the overlay area.

According to another aspect of the present invention, there is provided an apparatus for converting a 3D image of an overlay region, the apparatus comprising: a depth map generator for generating a depth map for displaying a perspective from an inputted monocular image; An overlay area detector for detecting an overlay area included in the inputted monocular image; A depth value correcting unit for correcting a depth value in the depth map for at least one of the detected overlay area and background image; And a binocular image generating unit for generating a binocular image based on the corrected depth map.

According to another embodiment of the present invention, the depth value correcting unit corrects the depth value of the overlay area to a value approximate to the depth value assigned to the peripheral area of the detected overlay area.

According to another embodiment of the present invention, the depth value correction unit may include a search unit for searching at least one depth value for a background image located at a boundary portion of the detected overlay area; And a mean value calculator for calculating an average value of at least one of the searched depth values, wherein the calculated average value is uniformly allocated to a depth value of the overlay area.

According to another embodiment of the present invention, the overlay area detecting unit extracts an overlay area by analyzing edges and color components in the input monocular image.

According to still another embodiment of the present invention, the binocular image generation unit generates binocular images by calculating binocular disparity from the completed depth map by reflecting the correction value for the overlay area.

According to an aspect of the present invention, there is provided a computer-readable recording medium having recorded thereon a program for executing the above-described 3D image conversion method.

According to the 3D image conversion method of the overlay area according to the embodiment of the present invention, even if the same letter is given as a result of the conversion into the 3D image, different binocular parallax is given depending on the position. However, Technology, a uniform binocular parallax is given to the overlay area, so that the overlay area has the same depth sense and no distortion occurs. In addition, the overlay area has a similar depth feeling to the background area located around the overlay area, and when the overlay area is detected, the depth value of the background image is corrected, so that viewing fatigue due to the 3D effect of the overlay area is reduced.

1 is a diagram illustrating an example of a monocular image frame including a caption area.
2 is a flowchart for explaining a 3D image conversion method of an overlay area according to an embodiment of the present invention.
3 is a flowchart for explaining a 3D image conversion method of an overlay area according to a second embodiment of the present invention.
FIG. 4 is a flowchart for explaining an embodiment of the step of correcting the depth value for the overlay area in FIG.
5A is a diagram illustrating an example in which an embodiment of the present invention is not applied when an overlay area is converted into a 3D image.
FIG. 5B is a diagram illustrating an example in which an embodiment of the present invention is applied when an overlay area is converted into a 3D image.
FIG. 6 is a functional block diagram illustrating an overlay area 3D image conversion apparatus according to another embodiment of the present invention.
Corresponding reference numerals in the several drawings indicate corresponding parts. Although the drawings illustrate embodiments of the invention, the drawings are not drawn to scale and certain features may be exaggerated for better illustrating and describing the invention.

In order to fully understand the present invention, operational advantages of the present invention, and objects achieved by the practice of the present invention, reference should be made to the accompanying drawings and the accompanying drawings which illustrate preferred embodiments of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an example of a monocular image frame including a caption area.

Referring to FIG. 1, in the image frame 110, other parts than the caption may be viewed as a background, with reference to the caption area 120, which is viewed with interest in the present invention. A plurality of objects (objects) may appear in the background, and when they are converted into 3D images, different depth values are given, and different binocular disparities are applied to display them as 3D images.

In this case, according to the related art, when the 3D image is converted, the caption regions 120 are transformed together so that different depth values are assigned to the respective characters, and different binocular parallax values can be applied. On the other hand, even when only the caption area 120 is subjected to 2D conversion, since the binocular parallax value is simply set to " 0 "(zero), the binocular parallax value can be set at the head with respect to the z- The case of being placed behind occurs.

In this case, the viewer experiences fatigue when watching the video for a long time due to the 3D effect of the subtitle having a discontinuous depth sense.

Therefore, in the present invention, after detecting an overlay area including a caption area, an OSD (On Screen Display), an area, and a broadcasting company logo area for a 2D image, The depth value of the overlay area is uniformly allocated to the overlay area so that the discontinuous depth feeling of the overlay area and the surrounding background does not occur.

Also, when the overlay area is detected in the 2D image, a method of correcting the depth value of the background image when converting the 2D image into the 3D image is proposed.

2 is a flowchart for explaining a 3D image conversion method of an overlay area according to an embodiment of the present invention.

Referring to FIG. 2, a 3D image conversion method of an overlay area according to an exemplary embodiment includes a step 210 of generating a depth map indicating a perspective from an input monocular image, (230) for the detected overlay area to a uniform depth value in the depth map, and generating a binocular image based on the corrected depth map (step 240)

First, in step 210, a depth map for the input 2D image is generated. A depth map is a map showing the difference in three-dimensional distance between objects in an image, and is represented by a value between 0 and 255 for each pixel. The black (low value) indicates far from the viewer, and the white (high value) indicates the nearest viewer.

Next, at step 220, an overlay area included in the monocular image is detected. As an example of a technique for detecting an overlay area, there is a method of extracting an overlay area by analyzing edges and color components in a monocular image. At this time, a rectangle corresponding to the overlay area may be extracted.

In addition, the overlay area extraction method may be based on low-level features such as edge and color as well as texture information, And a transition area search technique using the fact that the character is represented in a different color from the corresponding character. Next, in step 230, the depth value in the depth map is corrected for the detected overlay area. At this time, the correction value for the overlay area is uniformly assigned to a constant value. That is, in the overlay area, a uniform depth value is given so that the depth perception of each character does not differ from one another.

In the case of correcting the depth value of the overlay area, the reference value serving as the correction value is the depth value of the surrounding area. That is, in the converted 3D image, it is necessary to have a value similar to the depth value of the surrounding background image so that the caption is not heterogeneous with the surrounding background image and is not expressed discontinuously. Therefore, in an embodiment of the present invention, the depth value of the overlay area is corrected to a value approximate to the depth value assigned to the peripheral area of the overlay area detected.

Finally, in step 240, left and right binocular images are generated based on the depth map completed by the correction process. That is, the binocular disparity is calculated by referring to the depth map, and the left and right eye images are generated by moving the objects displayed in the image by the binocular disparity.

In the 3D image thus transformed, the overlay area in the image maintains continuity by having a depth sense similar to that of the surrounding background, and at the same time, each letter in the caption is given the same binocular parallax value, and distortion does not occur.

3 is a flowchart for explaining a 3D image conversion method of an overlay area according to a second embodiment of the present invention.

In step 310, a depth map for the input 2D image is generated. In step 320, the overlay area included in the monocular image is detected.

At this time, the overlay area may be detected based on the position information of the overlay area. For example, when the overlay area to be detected is an area representing the OSD generated by the display device, the OSD area can be detected by receiving the position information of the OSD area from the display device. At this time, the position information of the OSD area may have the form of a coordinate value for the OSD area, but the OSD area may be displayed as 1, and the background image outside the OSD area may have a bitmap shape as 0.

In step 330, it is determined whether or not to correct the depth value in the depth map for at least one of the detected overlay area and the background image.

If the depth value is corrected, proceed to step 340, otherwise proceed to step 350.

In this manner, unlike the embodiment of FIG. 2, the present embodiment does not correct the depth value in the depth map for the unconditional overlay area, but performs correction only when the overlay area satisfies a predetermined condition.

For example, whether or not the depth value is corrected can be determined based on the position, size, and movement of the overlay area. More specifically, when the overlay area is located at the center, the size of the overlay area is larger than the predetermined threshold value, the overlay area is not moving, or the like, at least one of the overlay area and the background image, Can be corrected.

In step 340, the depth value in the depth map is corrected for at least one of the detected overlay area and background image.

That is, in this embodiment, three kinds of depth value correction methods are performed as follows.

First, it is a method of correcting the depth value in the depth map only for the background image.

In the first correction method, i) a method of correcting all the background image objects to have the same depth value, or ii) a method of reducing the difference between the depth values of each of the background image objects can be used. ii), the difference between the depth values of the background image objects can be reduced by a predetermined ratio.

For example, when the OSD is displayed on the screen, if the first correction method is applied, the background image becomes a 2D image or a 2D image, so that the user can watch the OSD area with less fatigue.

The second method is to correct the depth value in the depth map only for the overlay area.

In the second correction method, i) a method of setting the binocular parallax value of the overlay area to 0, ii) a method of setting a depth value of a predetermined depth higher than the highest depth value of objects in the background image as a depth value of the overlay area Iii) a method of setting a depth value higher than the average value of the depth values of objects of the background image by a predetermined depth as the depth value of the overlay area, iv) a method of setting the depth value at the center of the overlay area or the depth A method of setting the value as the depth value of the overlay area, v) a method of setting the depth value obtained by applying the weight to the depth value of the background image and the depth value of the overlay area as the depth value of the overlay area, A method of setting a default value as a depth value of an overlay area, and vii) a method of setting a plurality of overlays A method of setting the minimum value, the maximum value or the average value of the depth value of each area as the depth value of all the overlay areas, viii) a method of setting the depth value inputted by the user as the depth value of the overlay area, ix) A method of correcting using a depth value of a background image, or the like can be used.

The method of setting the depth value obtained by applying the weights to the depth value of the background image and the depth value of the overlay area as the depth value of the overlay area will be described with reference to Equation (1). For example, if the weights applied to the depth values of the background image and the overlay area are 0.7 and 0.3, respectively, the average value (Dbaver) of the depth values of the background image objects is calculated, The corrected depth value Dco to be set as a new depth value of the overlay area is calculated by multiplying the average value Dbaver of the values by 0.7, multiplying the depth value Do of the overlay area by 0.3, .

[Equation 1]

On the other hand, a method of correcting the depth value for the overlay area using the depth value of the background image around the overlay area of vii) will be described with reference to FIG.

On the other hand, according to the second correction method, if the depth value in the depth map is corrected only for the overlay area, the depth value of the overlay area and the depth value of the background image are significantly different, and distortion may occur at the boundary of the overlay area. Therefore, in another embodiment, a smoothing filter such as a median filter, a weighted average filter, or a maximum filter is applied to the overlay area in order to remove such distortion Can be applied.

However, in an embodiment of the present invention, all kinds of filters capable of removing the difference between the depth value of the overlay area and the depth value of the background image may be used in addition to the smoothing filter. For example, in other embodiments, a low pass filter may be used in place of the smoothing filter.

The third method is to correct the depth value in the depth map for both the background image and the overlay area.

In another embodiment, it may be determined which of the above-described first to third correction methods to perform correction depending on the type of overlay area.

For example, when the overlay area is an area representing subtitles, only the depth value of the overlay area is corrected. When the overlay area is an area representing the OSD, the depth value of both the overlay area and the background image is corrected. Can be corrected.

In step 350, left and right binocular images are generated on the basis of the depth map completed by the correction process in step 340, and left and right binocular images are generated based on the depth map of step 310 in which the depth value is not corrected.

At this time, the left and right binocular images can be generated by referring only to the pixel values in the background image without referring to the pixel values in the overlay area.

FIG. 4 is a flowchart for explaining an embodiment of the step of correcting the depth value for the overlay area in FIG.

Referring to FIG. 4, a method of using an average depth value of a surrounding background is disclosed as an example of correcting a depth value for an overlay area.

At least one depth value is searched for at least one depth value of the background image located at the boundary of the overlay area detected in step 410. The average depth value of at least one depth value is calculated 420, The average value may be uniformly allocated to the depth value of the overlay area (430).

It is also possible to search the depth values of the surrounding area surrounding the overlay area as well as the average value, and to apply the intermediate values, the mode values, and the like.

5A is a diagram illustrating an example in which an embodiment of the present invention is not applied when an overlay area is converted into a 3D image. Meanwhile, FIG. 5B is a diagram showing an example in which an embodiment of the present invention is applied when an overlay area is converted into a 3D image.

Referring to FIG. 5A, a left eye image 510 and a right eye image 520 for an overlay area are shown. When the positions of the subtitles represented by the left and right eye images are compared with each other by a1, a2, and a3 (solid lines represent the positions of the respective characters of the left eye image 510 and dotted lines represent positions of the respective characters of the lower right eye image 520 , And the binocular disparity applied to each character is expressed differently. This can be more clearly understood by comparing the corresponding parts b1, b2 and b3 in FIG. 5B. In the case where the subtitles are three-dimensionally displayed in the state as shown in FIG. 5A, the viewer is difficult to read the subtitles and the fatigue is increased during long-time viewing.

However, when the positions of the captions represented in the left eye image 510 and the right eye image 520 of the overlay area are compared with each other by b1, b2, and b3, respectively, referring to FIG. 5B to which one embodiment of the present invention is applied, (Which can be more clearly seen in comparison with corresponding portions a1, a2 and a3 in FIG. 5A). Thus, when the subtitles are three-dimensionally displayed in the state as shown in FIG. 5B, distortion does not occur in the overlay area, and the viewer can read the subtitles more comfortably.

FIG. 6 is a functional block diagram illustrating an overlay area 3D image conversion apparatus according to another embodiment of the present invention.

6, an embodiment of the 3D image conversion apparatus 600 of the overlay area includes a depth map generating unit 610 for generating a depth map for displaying a perspective from an input monocular image, An overlay area detecting unit 620 for detecting an overlay area included in the image and a depth value correcting unit 630 for correcting the depth value in the depth map with respect to at least one of the detected overlay area and background image, And a binocular image generating unit 640 for generating a binocular image based on the binocular image.

The depth value correcting unit 630 may include a search unit for searching at least one depth value for a background image located at a boundary portion of the detected overlay region and an average value calculating unit for calculating an average value of at least one depth value searched .

Meanwhile, the 3D image conversion method of the overlay area according to an embodiment of the present invention can be realized by a general-purpose digital computer that can be created as a program that can be executed by a computer and operates the program using a computer- Can be implemented.

In addition, as described above, the structure of data used in the present invention can be recorded on a computer-readable recording medium through various means.

The computer-readable recording medium includes a storage medium such as a magnetic storage medium (e.g., ROM, floppy disk, hard disk, etc.), optical reading medium (e.g., CD ROM,

The present invention has been described with reference to the preferred embodiments. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (33)

A 3D image conversion method of an overlay area,
Generating a depth map representing a perspective from an inputted monocular image;
Detecting an overlay area included in the input monocular image;
Correcting a depth value in the depth map for at least one of the detected overlay area and background image based on the detected type of the overlay area;
And generating a binocular image based on the corrected depth map. The method according to claim 1,
Wherein the correcting step corrects the value to a value approximate to a depth value assigned to a peripheral area of the detected overlay area. 3. The method of claim 2,
Wherein the correcting comprises:
Searching at least one depth value for a background image located at a boundary portion of the detected overlay area;
Calculating an average value of the at least one depth value searched;
And uniformly assigning the calculated average value to a depth value of the overlay area. 3. The method of claim 2,
Wherein the detecting the overlay region comprises:
Wherein an overlay region is extracted by analyzing edges and color components in the input monocular image. 3. The method of claim 2,
Wherein the step of generating the binocular image comprises:
And calculating a binocular disparity from the completed depth map by reflecting the correction value for the overlay area to generate a left and right binocular image. The method according to claim 1,
Wherein the step of detecting the overlay area is performed based on the positional information of the overlay area,
Wherein the position information of the overlay area is bitmap information indicating a position of the overlay area or a position of the overlay area. The method according to claim 1,
Wherein the correcting step further comprises determining whether to perform the correction based on at least one of a position, a size and a movement of the overlay area,
Wherein the correcting step is performed only when it is determined to perform the correction as a result of the determination. The method according to claim 1,
Wherein the correcting comprises:
And corrects the objects of the background image to have the same depth value. The method according to claim 1,
Wherein the correcting comprises:
And corrects the difference between the depth values of the objects of the background image to be reduced. The method according to claim 1,
Wherein the correcting comprises:
Wherein a depth value of the overlay area is set to a depth value that is higher than a mean value of depth values of objects of the background image or depth values of objects of the background image by a predetermined depth, Conversion method. The method according to claim 1,
The step of correcting
Wherein the depth value at the center of the overlay area or the depth value at the boundary of the overlay area is set as the depth value of the entire overlay area. 12. The method of claim 11,
Further comprising performing filtering on the overlay area to remove a difference between a depth value of the overlay area and a depth value of the background image after the correction is performed. The method according to claim 1,
The step of correcting
And a depth value obtained by applying weights to depth values of the background image and the overlay area, respectively. The method of claim 1, wherein
The step of correcting
Wherein one of a minimum value, a maximum value, and an average value of depth values of each of the plurality of overlay areas is set as a depth value of each of the plurality of overlay areas when the number of the overlay areas is plural. The method according to claim 1,
The step of correcting
Wherein the depth value input from the user is set as the depth value of the overlay area. The method according to claim 1,
The step of generating the binocular image comprises:
Wherein the pixel values in the overlay region are not referenced but are referenced only to pixel values in the background image. A 3D image converting apparatus in an overlay area,
A depth map generating unit for generating a depth map for displaying a perspective from an input monocular image;
An overlay area detector for detecting an overlay area included in the inputted monocular image;
A depth value correcting unit for correcting a depth value in the depth map for at least one of the detected overlay area and the background image based on the detected type of the overlay area;
And a binocular image generating unit for generating a binocular image based on the corrected depth map. 18. The method of claim 17,
Wherein the depth value correcting unit corrects the depth value of the overlay area to a value approximate to the depth value assigned to the peripheral area of the detected overlay area. 19. The apparatus of claim 18,
A search unit for searching at least one depth value for a background image located at a boundary portion of the detected overlay region;
And an average value calculation unit for calculating an average value of the searched depth values,
Wherein the controller is configured to uniformly assign the calculated average value to the depth value of the overlay area. 19. The method of claim 18,
The overlay area detecting unit
Wherein an overlay area is extracted by analyzing edges and color components in the input monocular image. 19. The method of claim 18,
Wherein the binocular image generating unit comprises:
And the binocular disparity is calculated from the completed depth map by reflecting the correction value for the overlay area to generate a left and right binocular image. 18. The method of claim 17,
The overlay area detecting unit
Detecting the overlay area based on position information of the overlay area,
Wherein the position information of the overlay area is bitmap information indicating a position of the overlay area or a position of the overlay area. 18. The method of claim 17,
The depth value correcting unit may determine whether to perform the correction based on at least one of the position, size and movement of the overlay area, and perform the correction only when it is determined that the correction is to be performed Characterized by a 3D image conversion device. 18. The method of claim 17,
Wherein the depth value correcting unit comprises:
And corrects the objects of the background image to have the same depth value. 18. The method of claim 17,
Wherein the depth value correcting unit comprises:
And corrects a difference between depth values of objects of the background image to be reduced. 18. The method of claim 17,
Wherein the depth value correcting unit comprises:
Wherein a depth value of the overlay area is set to a depth value that is higher than a mean value of depth values of objects of the background image or depth values of objects of the background image by a predetermined depth, Conversion device. 18. The method of claim 17,
The depth value correction unit
Wherein the depth value at the center of the overlay area or the depth value at the boundary of the overlay area is set as the depth value of the entire overlay area. 28. The method of claim 27,
The depth value correction unit
Wherein filtering is further performed on the overlay area to remove a difference between a depth value of the overlay area and a depth value of the background image after performing the correction. 18. The method of claim 17,
The depth value correction unit
Wherein the correction is performed using depth values obtained by applying weights to depth values of the background image and the overlay area, respectively. The method of claim 17, wherein
The depth value correction unit
And sets one of a minimum value, a maximum value, and an average value of depth values of each of the plurality of overlay areas as a depth value of each of the plurality of overlay areas when the number of the overlay areas is plural. 18. The method of claim 17,
The depth value correction unit
And sets the depth value input from the user as the depth value of the overlay area. 18. The method of claim 17,
The binocular image generating unit
And generates the binocular image by referring to only pixel values in the background image without referring to pixel values in the overlay area. A computer-readable recording medium on which a program for implementing the 3D image conversion method according to any one of claims 1 to 16 is recorded.

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