JP5782911B2 - Three-dimensional image processing apparatus and method - Google Patents

Description

  The present invention relates to a three-dimensional image processing apparatus and method having a mask function for performing mask processing such as mosaic processing on a predetermined region in a three-dimensional image.

  A surveillance system using a surveillance camera usually has a mask function for performing mask processing such as mosaic processing on a predetermined area that is not a monitoring target in order to avoid infringement of privacy of a subject that is not a monitoring target. This type of mask function is used not only for monitoring systems but also for broadcasting news videos at broadcast stations and in various other fields. In addition to blurring the image by mosaic processing, there are various processing methods such as blacking and non-displaying the image.

  By the way, in recent years, so-called 3D movies and television receivers that display a stereoscopic image by a three-dimensional image have begun to spread. In addition to a method using glasses for performing 3D display, a naked-eye 3D method using no glasses has also appeared. Even in surveillance systems, it is expected that handling of three-dimensional images will increase.

JP 2002-271816 A

  As an example, in a monitoring system using a monitoring camera that captures a three-dimensional image, in order to perform mask processing on a predetermined area, it is necessary to generate a mask image three-dimensionally. In order to strictly generate a three-dimensional mask image, it is necessary to perform distance measurement and space understanding to measure at which distance in the depth direction the image to be masked is located. In order to perform distance measurement and space grasp, an algorithm for searching how the pixels of the left and right images in the three-dimensional image correspond is necessary. To realize this search algorithm, a high-speed processor is required, and even if a high-speed processor is used, it takes a considerable time to search. Accordingly, it is not practical to employ a generation method that generates a mask image in a three-dimensional manner using a search algorithm in a monitoring system that must immediately perform mask processing on a predetermined region that is not a monitoring target.

  When authoring the contents of a three-dimensional image, it is common to author the left and right images separately in two dimensions. If a three-dimensional image subjected to mask processing is authored in two dimensions, the mask image will appear to be affixed to the target to be concealed in a plane. Since the mask image does not look stereoscopic, it becomes an unnatural stereoscopic image.

  In view of such a problem, the present invention does not require complicated calculation processing, can generate a three-dimensional mask image even when two-dimensional authoring is performed, and can obtain a natural three-dimensional image. It is an object to provide a three-dimensional image processing apparatus and method.

In order to solve the above-described problems of the related art, the present invention sets a first mask region surrounding an image to be masked with respect to image data for the left eye in the three-dimensional image, and for the right eye in the three-dimensional image. A mask area setting unit for setting a second mask area surrounding an image to be masked with respect to the image data, and the position of the left end in the first mask area as it is, the first mask area Is extended to the right to form a first extended mask region, the position of the right end in the second mask region is left as it is, and the second mask region is extended to the left to form a second extended mask. a mask area expansion unit to an area, to the second stretch the mask region in the image data of the first stretch mask region and the right-eye in the image data for the left eye, the common Ma Providing a three-dimensional image processing apparatus characterized by comprising a mask image sticking section to paste a click images.

In the three-dimensional image processing apparatus includes an extended mask image generation unit which generates an extended mask image by the processing the one of the image data for the image data and the right eye for the eye, the mask image The affixing unit preferably affixes the first and second extended mask regions using the extended mask image as the common mask image .

In the above three-dimensional image processing apparatus, the extended mask image generation unit includes an image in the first mask area in the image data for the left eye or an image in the second mask area in the image data for the right eye. A mask image generating unit that generates a mask image by processing the mask image, and a mask image extending unit that generates the extended mask image by expanding the mask image according to the first or second expanded mask region, It is preferable to have .

In the three-dimensional image processing apparatus, generates an extended mask image of said independently of the left eye and the image data for the right eye, the constant place with a size corresponding to the first or second stretch mask region pattern An extended mask image generation unit configured to attach the mask image pasting unit to the first and second extended mask regions using the extended mask image of the predetermined pattern as the common mask image. It may be configured.

  In this case, it is preferable that the extended mask image generation unit generates an extended mask image including a predetermined character string or pattern.

In addition, in order to solve the above-described problems of the related art, the present invention sets a first mask region that surrounds an image to be masked with respect to image data for the left eye in a three-dimensional image. A mask area setting step for setting a second mask area surrounding the image to be masked with respect to the image data for the right eye, and the position of the left end in the first mask area as the position as it is, the first The mask area is extended in the right direction to be the first extension mask area, the position of the right end in the second mask area is left as it is, and the second mask area is extended in the left direction to obtain the second A mask area expansion step as an expansion mask area; the first expansion mask area in the image data for the left eye; and the second expansion mask area in the image data for the right eye. In contrast, providing a three-dimensional image processing method which comprises a mask image pasting step of pasting a common mask image.

  According to the three-dimensional image processing apparatus and method of the present invention, it is not necessary to perform complicated arithmetic processing, and a three-dimensional mask image can be generated even if two-dimensional authoring is performed, thereby obtaining a natural three-dimensional image. be able to.

It is a block diagram which shows the structural example which applied one Embodiment of this invention to the authoring apparatus. It is a block diagram which shows the structural example which applied one Embodiment of this invention to the monitoring system. It is a block diagram which shows the example of a specific structure of the mask process parts 12 and 23 in FIG. 1, FIG. It is a figure for demonstrating operation | movement of the mask area expansion | extension parts 33 and 34 in FIG. FIG. 4 is a diagram for explaining the operation of the mask area expansion units 33 and in FIG. 3, and shows a state in which a secret image and a mask area are viewed from above. It is a figure for demonstrating operation | movement of the mask area expansion | extension parts 33 and 34 in FIG. FIG. 4 is a diagram for explaining the operation of the mask area expansion units 33 and in FIG. 3, and shows a state in which a secret image and a mask area are viewed from above. It is a figure for demonstrating the problem which generate | occur | produces when a different mask image is employ | adopted by right and left image data. It is a figure for demonstrating operation | movement of the mask image generation part 35 and the mask image expansion part 36 in FIG. It is a figure which shows the other example of a mask image. It is a figure for demonstrating the whole flow of operation | movement of one Embodiment. It is a flowchart for demonstrating operation | movement of one Embodiment. It is a flowchart which shows the 1st specific example of step S5 in FIG. It is a flowchart which shows the 2nd specific example of step S5 in FIG. It is a figure which shows notionally the stereo image displayed by one Embodiment.

  Hereinafter, an embodiment of a 3D image processing apparatus and method according to the present invention will be described with reference to the accompanying drawings. First, a configuration example in which one embodiment is applied to an authoring apparatus will be described with reference to FIG. In FIG. 1, an image input unit 11 inputs left-eye image data and right-eye image data (hereinafter, left-right image data) in a three-dimensional image to be authored. The left and right image data is supplied to the mask processing unit 12 and the mask region generation unit 14. The storage unit 15 stores image data to be masked by the operation of the operation unit 16 in advance. The masking target is, for example, a vehicle license plate. Feature information for specifying an image to be masked may be stored in the storage unit 15.

  Image data to be masked is input from the storage unit 15 to the mask region generation unit 14. The mask area generation unit 14 extracts the target image data to be masked from the left and right image data by using, for example, pattern matching, and generates mask area data indicating the position and size of the target image data. The mask area generation unit 14 outputs the mask area data to the storage unit 15. The mask area generation unit 14 may generate mask area data based on feature information for specifying an image to be masked.

  As an example, the mask area generation unit 14 first extracts target image data to be masked from the left one frame of image data based on the image data stored in the storage unit 15, and the position and size of the target image data. Mask area data indicating the length is generated. Next, the mask area generation unit 14 generates mask area data by extracting image data to be masked from the right image data of the same frame by pattern matching based on the image data extracted from the left image data. To do. Then, in the next frame, the mask area generation unit 14 extracts the target image data by pattern matching based on the image data extracted from the image data of the previous frame, and repeats the same operation. Thus, mask area data of image data to be masked is sequentially generated from the left and right image data in each frame.

  If the mask target does not move, instead of storing the image data to be masked in the storage unit 15, mask area data indicating the position and size of the mask is stored only for the mask area data for one eye, for example, the left eye. You may leave it. In that case, image data to be masked first is created from the mask area data read from the storage unit 15 and the image data for the left eye, and the right eye using pattern matching is created from this image data and the image data for the right eye. Mask area data is generated. By adopting such a method, it is possible to reliably generate the mask area data even when the image changes with an object crossing in front of the mask area.

  The mask area data sequentially generated by the mask area generation unit 14 is temporarily stored in the storage unit 15, read out, and input to the mask processing unit 12. The mask processing unit 12 performs mask processing on the left and right image data based on the input mask area data and outputs the result to the image output unit 13. The image output unit 13 outputs the left and right image data subjected to the mask process. A specific configuration of the mask processing unit 12 and a specific operation of the mask processing will be described later.

  Next, a configuration example in which one embodiment is applied to a monitoring system will be described with reference to FIG. In FIG. 2, the left-eye imaging unit 21a captures a subject and outputs a left-eye image signal, and the right-eye imaging unit 21b captures a subject and outputs a right-eye image signal. The A / D conversion unit 22a converts the image signal output from the left eye imaging unit 21a into digital data, and supplies the digital data to the mask processing unit 23 as image data for the left eye. The A / D conversion unit 22b converts the image signal output from the right eye imaging unit 21b into digital data, and supplies the digital data to the mask processing unit 23 as image data for the right eye.

  Mask area data indicating the position and size of image data to be masked for each of the left and right image data is input from the storage unit 24 to the mask processing unit 23. The example shown in FIG. 2 shows a case where the masking target is fixed. In FIG. 2, similarly to FIG. 1, when the position or size of the object to be masked in each frame changes, mask area data may be generated so as to follow the change. The mask processing unit 23 performs mask processing on the left and right image data input from the A / D conversion units 22a and 22b based on the mask area data and outputs the result. A specific configuration of the mask processing unit 23 and a specific operation of the mask processing will be described later.

  The D / A conversion unit 25 converts the left and right image data subjected to the mask processing into analog data, and outputs the analog data to the image output unit 26. The image output unit 26 outputs analog data. The image compression unit 27 compresses the left and right image data subjected to the mask processing in an arbitrary format such as JPEG or MPEG, and outputs the compressed data to the communication unit 28. The communication unit 28 sends the compressed data input from the image compression unit 27 to the outside through a communication network such as the Internet. The recording unit 29 records the compressed data input from the image compression unit 27. In the example illustrated in FIG. 2, the D / A conversion unit 25 and the image output unit 26, the communication unit 28, and the recording unit 29 are provided, but it is not necessary to provide all of them.

  FIG. 3 shows a specific configuration example of the mask processing units 12 and 23, and a specific operation of the mask processing units 12 and 23 will be described with reference to FIGS. In FIG. 3, a mask area setting unit 31 sets a mask area using the mask area data of the left image data, and a mask area setting unit 32 sets a mask area using the mask area data of the right image data. To do. FIG. 4A shows an example of 3D display in which the concealment target 41 is displayed behind the projection plane 40 of the left and right image data. By projecting the left-eye image 41L of the concealment object 41 viewed with the left eye EL and the right-eye image 41R of the concealment object 41 viewed with the right eye ER onto the projection surface 40 as shown in the figure, the person can conceal the concealment object 41. It recognizes that it is located in the back side.

To mask concealed 41 sets a mask region 42L to just masking the left-eye image 41L, and was set boss mask region 42R to just mask the right-eye image 41R. Then, the mask area 42 in which the mask area 42L and the mask area 42R are combined is arranged so as to mask the concealment target 41. However, when a mask area 42 is set as shown in FIG. 4A and mask processing such as mosaic processing is performed in the mask area 42, the mask image is planarly attached to the concealment target 41. It looks like it is attached, and it doesn't look three-dimensional.

  FIG. 5A shows a state in which FIG. 4A is viewed from above. In FIG. 5, for convenience, the projection surface 40 is illustrated as having a predetermined width. As shown in FIG. 5A, the mask area 42 is apparently located at the same position as the concealment object 41 that appears to be located behind the projection surface 40, and is provided corresponding to the mask area 42. The mask image is in a state of being attached to the concealment target 41. The mask processing units 12 and 23 include the mask area expansion units 33 and 34, the mask image generation unit 35, and the mask image expansion unit 36, thereby eliminating the situation where the mask image is attached to the concealment target 41. To do.

  In FIG. 3, the mask area expanding unit 33 extends the mask area 42L shown in FIG. 4A input from the mask area setting unit 31 in the right direction, and expands the mask area 42Lex shown in FIG. 4B. To do. The mask area extension unit 34 extends the mask area 42R shown in FIG. 4A input from the mask area setting unit 32 in the left direction to obtain an extended mask area 42Rex shown in FIG. 4C. By setting the extended mask areas 42Lex and 42Rex, as shown in FIGS. 4B and 4C, the mask area 42 is apparently positioned in front of the concealment target 41.

  FIG. 5 (B) shows a state in which the two are combined when viewed from above. As apparent from a comparison between FIG. 5A and FIG. 5B, the expanded mask region 42Lex extends rightward compared to the mask region 42L, and the expanded mask region 42Rex is compared with the mask region 42R. And extends to the left. In FIG. 5A, the line of sight shown by a straight line for viewing the right end of the mask image provided corresponding to the mask area 42L by the left eye EL, and the right end of the mask image provided by the right eye ER corresponding to the mask area 42R. The intersection with the line of sight shown by the straight line to be viewed is located at the point PR0. A line of sight shown by a straight line looking at the left end of the mask image provided corresponding to the mask area 42L with the left eye EL and a line of sight shown by a straight line looking at the left end of the mask image provided corresponding to the mask area 42R of the right eye ER The intersection is located at point PL0.

  In FIG. 5B, since the extended mask areas 42Lex and 42Rex are obtained, the left eye EL is viewed with a broken line looking at the right end portion of the mask image provided corresponding to the expanded mask area 42Lex, and the right eye ER is expanded. The intersection point with the line of sight indicated by a straight line looking at the right end portion of the mask image provided corresponding to the mask region 42Rex is located at the point PR1. Further, the line of sight shown by a straight line looking at the left end of the mask image provided corresponding to the extended mask region 42Lex with the left eye EL and the broken line looking at the left end of the mask image provided by the right eye ER corresponding to the extended mask region 42Rex. The intersection with the line of sight shown is located at point PL1.

  Therefore, as shown in FIG. 5B, the mask area 42 in which the extended mask areas 42 Lex and 42 Rex are combined is apparently positioned in front of the concealment target 41. The mask image provided corresponding to the mask area 42 does not become a state of being attached to the concealment target 41, and can be a stereoscopic image that looks stereoscopic and can be a natural one.

  6A to 6C and FIGS. 7A and 7B show examples of 3D display in which the concealment target 41 is displayed in front of the projection surface 40. FIG. Similarly, in this case, the mask region 42L is expanded rightward by the mask region expansion unit 33 to be the expanded mask region 42Lex, and the mask region 42R is expanded leftward by the mask region expansion unit 34 to be the expanded mask region 42Rex. Accordingly, as shown in FIGS. 6B, 6 </ b> C, and 7 </ b> B, the mask region 42 can be apparently positioned in front of the concealment target 41.

  Returning to FIG. 3, data indicating the mask region 42 </ b> L output from the mask region setting unit 31 is input to the mask image generation unit 35. Data indicating the mask region 42 </ b> R output from the mask region setting unit 32 may be input to the mask image generation unit 35. As an example, the left image data is input to the mask image generation unit 35. The mask image generation unit 35 generates a mask image by, for example, mosaic processing the left image data in the mask region 42L. The mask image generation unit 35 may generate a mask image based on the right image data.

  The mask image generated by the mask image generation unit 35 is commonly used to mask both the left and right image data. Temporarily, a left mask image for masking the left image data is generated based on the left image data in the expansion mask area 42Lex, and the right image data is masked based on the right image data in the expansion mask area 42Rex. Let us consider a case where a right mask image is generated for this purpose. FIGS. 8A and 8D show a state where a person 43 is present in front of the concealment target 41 in the extension mask areas 42Lex and 42Rex. 8B and 8C show mask images 44L and 44R generated by mosaicing image data in the extended mask regions 42Lex and 42Rex.

  When the image data in the extension mask areas 42Lex and 42Rex are respectively mosaic processed, for example, the rectangular area Ar0 in FIGS. 8B and 8C should have the same brightness and color, but the brightness and color should be the same. It will be different. Therefore, if the mask images 44L and 44R generated by mosaicing the image data in the extended mask areas 42Lex and 42Rex are used individually, the human eye cannot properly recognize the sense of distance. Therefore, as described above, in the present embodiment, the mask image generated by the mask image generation unit 35 is commonly used to mask both the left and right image data.

  In FIG. 3, the mask image generating unit 35 generates a mask image based on the left image data in the mask area 42L by using data indicating the mask area 42L. FIG. 9A shows a state in which a person 43 is present in front of the concealment target 41 in the mask area 42L. FIG. 9B shows a mask image 45 generated by mosaic processing the image data in the mask area 42L by the mask image generation unit 35. The mask image 45 generated by the mask image generation unit 35 is input to the mask image expansion unit 36. As shown in FIG. 9C, the mask image extension unit 36 performs an affine transformation on the mask image 45 to generate an extended mask image 45Lex in which the mask image 45 is extended to the size of the expanded mask region 42Lex. Further, by performing affine transformation on the mask image 45, an expanded mask image 45Rex is generated by expanding the mask image 45 to the size of the expanded mask region 42Rex.

  The mask image generating unit 35 and the mask image extending unit 36 are an extended mask image generating unit 356 that generates extended mask images 45Lex and 45Rex. The extended mask image generation unit 356 may generate a mask image (extended mask image) using a pattern including a predetermined character string or pattern regardless of the left and right image data, instead of processing the left and right image data. . When the left and right image data is not used for generating the mask image, it is not necessary to input the left and right image data to the extended mask image generation unit 356.

  When the left and right image data are not used, a mask image corresponding to the mask region 42L or 42R is generated by the mask image generation unit 35, and the mask image is adjusted so as to match the expanded mask region 42Lex or 42Rex by the mask image expansion unit 36. There is no need to do it in two stages of expansion. The extended mask image generation unit 356 may generate an extended mask image having a predetermined pattern that matches the extended mask region 42Lex or 42Rex.

  The mask image pasting unit 37 receives the left image data, the extended mask image 45Lex generated by the mask image extending unit 36, and data indicating the expanded mask area 42Lex. The mask image pasting unit 38 receives the right image data, the extended mask image 45Rex generated by the mask image extending unit 36, and data indicating the expanded mask region 42Rex. The mask image pasting units 37 and 38 paste the extended mask images 45Lex and 45Rex in the range of the extended mask areas 42Lex and 42Rex, respectively. Specifically, the mask image pasting units 37 and 38 replace the original image data in the extended mask areas 42Lex and 42Rex with the data of the extended mask images 45Lex and 45Rex. As a result, mask processing is performed on the concealment target 41 from the mask image pasting units 37 and 38, and left and right image data in which the mask image looks three-dimensional are output.

  FIG. 5B shows an extension amount Δp for extending the mask regions 42L and 42R left and right by the mask region extension units 33 and 34. FIG. 5B illustrates the extension amount Δp of the mask region 42R. In the present embodiment, the expansion amount Δp may be given as a constant to the mask region expansion units 33 and 34. In the present embodiment, the parallax p on the projection plane 40 shown in FIG. 5B, the depth amount (or the protruding amount toward the front side) d of the concealment target 41, the distance D of the mask image from the concealment target 41, etc. There is no need to perform an operation using. Therefore, it is not necessary to perform complicated arithmetic processing, and the mask image can be displayed three-dimensionally very easily. The expansion amount Δp set by the mask region expansion units 33 and 34 may be made variable so that the optimal expansion amount Δp can be set while viewing the 3D display.

  FIG. 10 shows another example of a mask image (extended mask image). A mask image 46 shown in FIG. 10 is an example in which a character string “Privacy Masking” is displayed on a black background. The mask image 46 has a size corresponding to the extended mask areas 42Lex and 42Rex. For example, when a monotonous image such as one black color is used as a mask image, the mask image may not be seen stereoscopically. Therefore, a pattern in which the mask image looks three-dimensional, such as the above-described mosaic processing image, a predetermined character string, and a predetermined pattern, may be employed.

  The operation in the present embodiment will be described again with reference to FIGS. Here, the operation of the configuration example shown in FIG. 1 will be described. 11, (A) to (D) show the frame FL in the left image data, and (E) to (H) show the frame FR in the right image data. 11A to 11D and 11E to 11H do not necessarily indicate different frames.

  In FIG. 12, the mask area generation unit 14 reads out image data to be masked from the storage unit 15 in step S1. In step S2, the mask area generation unit 14 extracts target image data to be masked from the left image data, and generates mask area data indicating the position and size of the target image data. As a result, as shown in FIG. 11A, a mask area 42L surrounding the concealment target 41 that is image data to be masked is set. In step S3, the mask area generation unit 14 extracts target image data to be masked from the right image data by pattern matching, and generates mask area data indicating the position and size of the target image data. As a result, as shown in FIG. 11F, a mask area 42R surrounding the concealment target 41 that is the image data to be masked is set.

  Although not particularly illustrated, the mask area generation unit 14 sequentially generates mask area data in each frame in the left and right image data.

  In step S4, as shown in FIGS. 11C and 11G, the mask processing unit 12 expands the mask area 42L of the left image data by Δp in the right direction to generate an expanded mask area 42Lex. The mask area 42R of the right image data is expanded leftward by Δp to generate an expanded mask area 42Rex. In step S5, the mask processing unit 12 pastes a common mask image on both the decompression mask area 42Lex of the left image data and the decompression mask area 42Rex of the right image data, and ends.

FIG. 13 shows a first specific example of step S5. In FIG. 13, the mask processing unit 12 generates a mask image 45 by mosaicing the image in the mask area 42 </ b> L in the left image data as an example, as shown in FIG. 11I in step S <b> 51. . In FIG. 11I, the mosaic image of the mask image 45 is represented by a broken line for simplification of illustration.
It appears. In step S52, the mask processing unit 12 affine-transforms the mask image 45 in accordance with the expanded mask regions 42Lex and 42Rex expanded by Δp, as shown in FIG. 11 (I), and generates extended mask images 45Lex and 45Rex. To do. Then, in step S53, as shown in FIGS. 11D and 11H, the mask processing unit 12 pastes the generated extended mask image 45Lex on the expansion mask area 42Lex of the left image data, thereby extending the extended mask image. 45Rex is pasted on the expansion mask area 42Rex of the right image data, and the process ends.

  FIG. 14 shows a second specific example of step S5. In FIG. 14, in step S54, the mask processing unit 12 generates a mask image having a predetermined pattern in accordance with the expanded mask areas 42Lex and 42Rex expanded by Δp. An example of a mask image having a predetermined pattern is a mask image 46 shown in FIG. In step S55, the mask processing unit 12 pastes the generated mask image on both the expansion mask area 42Lex of the left image data and the expansion mask area 42Rex of the right image data, and the process ends.

  According to the present embodiment, as conceptually shown in FIG. 15, the extended mask images 45Lex and 45Rex are apparently displayed on the front side of the concealment target 41, and the concealment target 41 is masked by the expansion mask images 45Lex and 45Rex. Is done. The extended mask images 45Lex and 45Rex look three-dimensional and can be natural 3D images. FIG. 15 shows the display state according to the first specific example shown in FIG. 13, but the mask image also appears three-dimensionally in the second specific example shown in FIG. it can.

  The present invention is not limited to the embodiment described above, and various modifications can be made without departing from the gist of the present invention. 12 to 13 may be realized by software (computer program), or hardware and software may be appropriately combined.

DESCRIPTION OF SYMBOLS 11 Image input part 12, 23 Mask processing part 13, 26 Image output part 14 Mask area | region production | generation part 15, 24 Storage part 16 Operation part 21a Left eye imaging part 21b Right eye imaging part 22a, 22b A / D conversion part 25 D / A conversion Unit 27 image compression unit 28 communication unit 29 recording unit 31, 32 mask region setting unit 33, 34 mask region expansion unit 35 mask image generation unit 36 mask image expansion unit 37, 38 mask image pasting unit 356 expansion mask image generation unit

Claims (6)

A first mask area surrounding the image to be masked with respect to the image data for the left eye in the three-dimensional image is set, and a second image surrounding the image to be masked with respect to the image data for the right eye in the three-dimensional image. A mask area setting section for setting a mask area;
The position of the left end in the first mask area is set as it is, the first mask area is extended rightward to form a first extended mask area, and the position of the right end in the second mask area is set. A mask area extension unit that extends the second mask area in the left direction as a second extension mask area as it is,
A mask image pasting unit for pasting a common mask image to the first decompression mask region in the image data for the left eye and the second decompression mask region in the image data for the right eye;
A three-dimensional image processing apparatus comprising: With enhanced mask image generation unit which generates an extended mask image by the processing the one of the image data of the right eye and image data for the left eye,
The mask image pasting unit pastes the extended mask image on the first and second stretched mask areas using the common mask image as the common mask image.
3D image processing apparatus according to claim 1, wherein the this. The extended mask image generation unit
A mask image generation unit that generates a mask image by processing an image in the first mask region in the image data for the left eye or an image in the second mask region in the image data for the right eye;
A mask image extension unit that generates the extended mask image by extending the mask image to fit the first or second extended mask region;
3D image processing apparatus according to claim 2, wherein a. Wherein independently of the left eye and the image data for the right eye, with enhanced mask image generation unit which generates an extended mask images of a constant pattern where having a size corresponding to the first or second stretch mask area,
The mask image pasting unit pastes the extended mask image having the predetermined pattern as the common mask image to the first and second extended mask regions.
3D image processing apparatus according to claim 1, wherein the this.   The three-dimensional image processing apparatus according to claim 4, wherein the extended mask image generation unit generates an extended mask image including a predetermined character string or pattern. A first mask area surrounding the image to be masked with respect to the image data for the left eye in the three-dimensional image is set, and a second image surrounding the image to be masked with respect to the image data for the right eye in the three-dimensional image. A mask area setting step for setting a mask area;
The position of the left end in the first mask area is set as it is, the first mask area is extended rightward to form a first extended mask area, and the position of the right end in the second mask area is set. A mask area expansion step that extends the second mask area in the left direction as the second position to make a second expansion mask area,
A mask image pasting step for pasting a common mask image to the first decompression mask region in the image data for the left eye and the second decompression mask region in the image data for the right eye;
A three-dimensional image processing method.

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