JP2015095055A - Image processing apparatus, image processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve the problem in which: in a system executing image processing, a user cannot select image processing as intended without knowledge for image processing.SOLUTION: There is provided an image processing selection support system that includes means for grasping the difference between an image processing result and an image processing result intended by a user, means for determining an image processing engine necessary for performing image processing intended by a user, and means for displaying optimized image processing from a result of the determination.

Description

  The present invention relates to an image processing apparatus, an image processing method, and a program for selecting image processing.

  If the displayed processing result image is not the expected result after using the image processing service, the user can use the displayed image processing method icon, the character string attached to the icon, and the thumbnail after image processing as intended. The image processing that can be processed is selected again.

  As a selection method of image processing, there is a method of displaying a processing result as a thumbnail and selecting image processing. By displaying the thumbnails of the processing results, it is considered that the user can select image processing that can obtain the intended results without knowledge of image processing.

  By sensuously performing the method of selecting image processing in this way, it helps to obtain an intended image processing result when assuming a user with low IT literacy. Therefore, as the number of types of image processing increases, a method for selecting image processing sensuously is required.

  According to Patent Document 1, a method is described in which, for a plurality of image processes that can obtain a similar effect, a sample image that has undergone each image process is displayed on a single screen by changing parameter values. ing. As a result, the user can select an image process with which the effect intended by the user can be obtained with reference to the sample images displayed in a list.

JP 2009-54085 A

  However, in Patent Document 1, only sample images of image processing that can obtain a similar effect can be displayed. Therefore, when the image processing selected at the beginning has selected an image processing having a completely different characteristic from the intended image processing, the user cannot reach the intended image processing. Further, in order to display the sample image, it is necessary to perform image processing, and there is a problem that it takes time to display the sample image.

  The image processing apparatus of the present invention displays a selection unit that selects an image processing type from a plurality of types of image processing, and a parameter adjustment unit that corresponds to the type of image processing selected by the selection unit. One display means, an instruction means for instructing a parameter using the parameter adjustment section displayed by the first display means, and the image according to the adjustment position of the parameter adjustment section instructed by the instruction means. And a second display means for displaying a type of image processing different from the type of processing.

  According to the present invention, in the preview display of the image processing result after the image processing, the difference between the image processing result intended for the user and the actual image processing result is confirmed to fetch the image processing result intended by the user. It is possible. As a result, it is possible to provide image processing that takes in the user's intention and obtains a result as intended by the user.

It is a figure which shows the table which manages the characteristic of an image processing with an image processing engine selection assistance system. It is a figure of UI displayed when displaying an image processing result. It is a figure of UI displayed when image processing is narrowed down by a bar when performing image processing again. 3 is a flowchart showing processing of Example 1; It is a figure which shows the table which manages the question linked | related with the characteristic of the image processing in the image processing engine selection assistance system. It is a figure of UI displayed when image processing is narrowed down by a question when performing image processing again. 6 is a flowchart illustrating processing of Example 2; It is a flowchart at the time of calculating a parameter by S708. It is a figure which shows the table which manages the character string linked | related with the feature of the image processing in the image processing engine selection assistance system. It is a block diagram which shows the structure of an image processing engine selection assistance system. It is a figure which shows the module structure of an image processing engine selection assistance system.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The following embodiments do not limit the invention according to the claims, and all combinations of features described in the embodiments are not necessarily essential to the solution means of the invention.

  FIG. 10 is a block diagram showing the configuration of the image processing engine selection support system.

  Reference numeral 1000 denotes a control unit in the image processing engine selection support system (image processing apparatus). A control unit 1000 including a CPU 1001 controls the operation of the entire image processing engine selection support system. The CPU 1001 reads out a control program stored in the ROM 1002 and executes various control processes. The RAM 1003 is used as a temporary storage area such as a main memory or work area for the CPU 1001. The HDD 1004 stores image data, various programs, or various information tables described later. The various information tables shown in the figure are necessary for managing image processing, and are stored in the HDD 1004 in advance.

  A network I / F 1007 connects the control unit 1000 to a LAN. The network I / F 1007 transmits / receives various information to / from other devices on the LAN.

  The control unit 1000 controls the operation unit 1008 via the operation unit I / F 1005. In addition, the UI unit 1009 is controlled via the UI / F 1006 to perform display. Here, the operation unit includes a liquid crystal display unit having a touch panel function, a keyboard, a mouse, and the like. Examples of the UI include a liquid crystal screen.

  FIG. 11 is a diagram illustrating a module configuration of the image processing engine selection support system. These software modules are stored in the HDD 1004 of the image processing engine selection support system and executed by the CPU 1001.

  The image processing unit 1101 is a module for performing image processing selected by the operation unit 1008 on an input image selected by the image management unit 1102 described later.

  The image management unit 1102 is a module for saving an input image in the HDD 1004 and retrieving an image selected by the operation of the operation unit 1008 from the HDD 1004.

  The image processing selection unit 1103 corresponds to the operation unit 1008 and is a module for listing required image processing and passing the list to the UI. The image processing listed here is temporarily stored in the HDD 1004.

  The UI creation unit 1104 is a module for creating and displaying a necessary screen. Here, the bar 202 created in S403 or S703 or the image processing 301 optimized in the question 603, S408, or S708 is created.

  As a selection method of image processing according to the present invention, selection of image processing for the second time and thereafter will be described. Therefore, the processing after the first image processing selection is an object of the present invention. In addition, regarding the selection of the image processing, the image processing is selected and executed for the first time, and if the processing result image is the intended result, the image is saved. If the result is not the intended result, image processing is selected again. Thereafter, these processes are repeated.

  First, the user selects arbitrary image processing using the operation unit 1008. For the selected image processing, the image processing selected by the user in S401 is temporarily stored in the HDD 1004.

  In step S402, the image processing engine 101 searches the image processing engine 101 for the image processing held in step S401. In S403, the UI creation unit 1104 creates a bar to be displayed on the parameter adjustment bar display unit 202 in FIG. 2 from the category 102 and the parameter 103 included in the search result row in S402. The parameters related to the characters displayed on the left and right of the bar change depending on the type of the category 102, and the initial position of 203 associated with the bar 202 changes depending on the value of the parameter 103. 9 is determined from the category 102 corresponding to the selected image processing, and the corresponding left display character string 902 and right display character string 903 are selected. For example, when image processing dark is selected, the corresponding category 102 is brightness. Therefore, when the category 901 is lightness, “dark” is selected from the left display character string 902 for the character string displayed on the left, and “bright” is selected from the right display character string 903 for the character string displayed on the right. If there are a plurality of categories 102 such as “brightness and sharpness” as in the case where the image processing engine 101 performs HDR processing, a plurality of bars to be displayed at 202 are created.

  In S404, the bar created in S403 is used for the bar 202 when the screen shown in FIG. 2 is displayed. In S405, when the image processing result 201 for the original image 200 is not as intended, the user slides the 203 attached to the bar 202 to the left and right, and adjusts it by specifying parameters corresponding to the category 102. When the redo button 204 is pressed after the adjustment of the adjustment position by the parameter adjustment unit is completed, the image processing selection screen in FIG. 3 is displayed. At the time of this screen transition, the processes of S407, S408, and S409 are performed.

  In step S407, the image processing selection unit 1103 determines the parameter value based on the corresponding 102 and the position 203 when the system detects that the user has pressed 204 in step S405, and holds the category and parameter in the HDD 1004. In step S408, the image processing is listed from the categories that match the categories held in the HDD 1004 in step S407 and that are close to the held parameters. In step S409, the image processing listed in step S408 in 301 when the screen of FIG. 3 is generated is received from the image processing selection unit 1103 and used by the UI generation unit 1104 to generate a UI. The user selects image processing again from the optimized image processing displayed in 301. In the UI displayed in S409, a type of image processing different from the image processing selected in S401 is displayed. In S410, the image processing engine selected from 301 by the operation unit 1008 is received, and the process proceeds to S401. Thereafter, the same processing is repeated until the save button 205 is pressed in S405.

  In the first embodiment, the image processing is optimized by operating the bar created in S403 in S405. However, in the method as in the first embodiment, the user does not need to be aware of the exact value of the parameter, but an operation of moving the bar and adjusting the parameter in S405 is necessary. Therefore, we propose a method for selecting the intended image processing without considering the parameters.

  Up to S702, the same processing as in the first embodiment is performed. In S703, the table of FIG. 5 is used, and 502 questions corresponding to the search result in S702 are listed. In S704, the question list created in S703 is used as the question 603 when the screen shown in FIG. 6 is displayed. The question list is held in the HDD 1004. In step S <b> 705, when the result image 601 is not as intended as compared with the original image 600, the user selects a corresponding one from the questions in 603. When the UI creation unit 1104 detects that any of the items 603 has been selected, the UI creation unit 1104 displays the image processing selection screen in FIG. At the time of this screen transition, the processes of S707, S708, and S709 are performed.

  In S707, the corresponding category 102, the parameter 103, and the answer to the question 603 pressed in S705 are stored in the HDD 1004. In step S <b> 708, the image processing selection unit 1103 calculates parameters used for image processing selection from the parameter 103 held in step S <b> 707 and information on the answer to the question 603. The parameter 102 and the image processing engine 101 close to the calculated parameter are sorted and listed.

  The parameter calculation method will be described by taking a case where the category 102 is lightness as an example. The lightness parameter has a positive value for brighter and a negative value for darker. If “brighter than expected” is selected in S705, the value of the parameter 103 is decreased to make it darker, and if “darker than expected” is selected, it is made brighter. Therefore, it is necessary to increase the value of the parameter 103. The parameters calculated here are necessary for listing the image processing in S708, and are therefore stored in the HDD 1004 until the processing in S706 is completed.

  In S801, it is determined whether to increase or decrease the parameter from the answer to the question 603 pressed in S705. In the case of decreasing the size, in step S802, it is determined whether the parameter has been decreased during the previous image processing. If it was reduced during the previous image processing, the parameter for the next image processing to be performed in S805 is set as the lower limit value of the parameter. If it has been increased at the time of the previous image processing, the average value of the parameter held in S707 and the lower limit value of the parameter is calculated and set as the parameter for the next image processing. In S804, by setting the upper limit value of the parameter as the parameter held in S707, the values that can be taken from the next time are limited. If it is to be increased, it is determined in step S806 whether the parameter has been increased during the previous image processing. If it was increased during the previous image processing, the parameter of the next image processing to be performed in S809 is set as the upper limit value of the parameter. If it was reduced during the previous image processing, the average value of the parameter held in S707 and the upper limit value of the parameter is calculated and set as the parameter for the next image processing. In S808, by setting the lower limit value of the parameter to the parameter held in S707, the values that can be taken next time are limited.

  In S709, the image processing listed in the image processing selection unit 1103 in S708 is used for the image processing display unit 301 when the UI creation unit 1104 creates the screen of FIG. The user selects image processing again from the image processing displayed on the image processing display unit 301 for image processing performed on the original image 300. In step S710, the image processing engine selected from the image processing display unit 301 is accepted, and the process proceeds to step S701. Thereafter, the same processing is repeated until the save button 602 is pressed in S705.

  In the first and second embodiments, parameters used for image processing are managed by simplified categories and parameters. Originally, the parameters that need to be set differ for each image processing, but in the present invention, the system holds the values of the parameters that are originally required for the parameters for the simplified categories of each image processing. Therefore, by specifying image processing and simplified categories and parameters on the system, it is possible to realize by referring to the parameters without specifying the parameters that are essential.

  The present invention can also be realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and a computer (or CPU, MPU, or the like) of the system or apparatus reads the program. It is a process to be executed.

Claims (6)

A selection means for selecting an image processing type from a plurality of image processing types;
First display means for displaying a parameter adjustment unit corresponding to the type of image processing selected by the selection means;
Using the parameter adjustment unit displayed by the first display means, an instruction means for instructing a parameter;
An image processing apparatus comprising: a second display unit that displays an image processing type different from the image processing type according to an adjustment position of the parameter adjustment unit instructed by the instruction unit.   The image processing apparatus according to claim 1, wherein the plurality of types of image processing includes HDR processing.   The image processing apparatus according to claim 1, wherein the instruction unit instructs a parameter to be brightened or darkened.   4. The image processing apparatus according to claim 1, further comprising a receiving unit configured to receive an image processing type from among the types of image processing displayed by the second display unit. 5. . A selection step of selecting an image processing type from a plurality of image processing types;
A first display step for displaying a parameter adjustment unit corresponding to the type of image processing selected in the selection step;
An instruction step for instructing a parameter using the parameter adjustment unit displayed in the first display step;
An image processing method comprising: a second display step for displaying an image processing type different from the image processing type in accordance with an adjustment position of the parameter adjustment unit instructed by the instruction step.   The program for functioning a computer as an image processing apparatus as described in any one of Claims 1 thru | or 4.

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