Image processing device, and image processing method and program

1. An image processing device comprising:

a determination section which determines a texture direction in a vicinity region based on the vicinity region which includes a target pixel in the image; and

a detection section which detects whether or not the target pixel is a defective pixel based on a plurality of pixels including the target pixel which are lined up in the texture direction in the image,

wherein the determination section calculates a differential value of a direction in the vicinity region based on a differential value between the pixels which are lined up in the same direction in the vicinity region and the direction where the differential value is the smallest out of a plurality of directions is set as the texture direction,

wherein the detection section is provided with

a secondary differential value calculation section which calculates a secondary differential value of the pixel value of the pixel with regard to a grouping of a predetermined number of pixels including the target pixel which are lined up to be continuous in the texture direction in the image and

a comparator which determines whether the target pixel is a defective pixel based on the secondary differential values of a plurality of the groupings which are different, and

wherein the determination section and the detection section are each implemented via at least one processor.

2. The image processing device according to claim 1 ,

wherein the comparator determines that the target pixel is a defective pixel in a case where each secondary differential value of the plurality of the groupings which are different is larger than a predetermined threshold.

3. The image processing device according to claim 1 , further comprising:

a defective pixel correction section which corrects the target pixel based on the pixels in the vicinity of the target pixel which are the same color as the target pixel and are lined up in the texture direction,

wherein the defective pixel correction section is implemented via at least one processor.

4. The image processing device according to claim 3 ,

wherein the defective pixel correction section is provided with

a differential value calculation section which calculates differential values for two pixels which are adjacent in a first direction which is parallel to the texture direction with regard to the target pixel and differential values for two pixels which are adjacent in a second direction which is opposite to the first direction with regard to the target pixel, and

a correction value calculation section which sets a target pixel after correction by carrying out a weighted average for two pixels which are adjacent in a direction where the differential value is smaller out of the first direction and the second direction with regard to the target pixel.

5. An image processing method of an image processing device, which is provided with a determination section which determines texture direction in a vicinity region based on the vicinity region which includes a target pixel in the image and a detection section which detects whether or not the target pixel is a defective pixel based on a plurality of pixels including the target pixel which are lined up in the texture direction in the image, the method comprising:

determining the texture direction using the determination section; and

detecting the defective pixel using the detection section,

wherein the determining comprises calculating a differential value of a direction in the vicinity region based on a differential value between the pixels which are lined up in the same direction in the vicinity region and the direction where the differential value is the smallest out of a plurality of directions is set as the texture direction, and

wherein the detecting comprises calculating a secondary differential value of the pixel value of the pixel with regard to a grouping of a predetermined number of pixels including the target pixel which are lined up to be continuous in the texture direction in the image, and determining whether the target pixel is a defective pixel based on the secondary differential values of a plurality of the groupings which are different.

6. A non-transitory computer-readable medium having embodied thereon a program, which when executed by a processor of a computer causes the processor to execute a method, the method comprising:

determining a texture direction in a vicinity region based on the vicinity region which includes a target pixel in an image; and

detecting whether the target pixel is a defective pixel based on the plurality of pixels including the target pixel which are lined up in the texture direction in the image,

wherein the determining comprises calculating a differential value of a direction in the vicinity region based on a differential value between the pixels which are lined up in the same direction in the vicinity region and the direction where the differential value is the smallest out of a plurality of directions is set as the texture direction, and

wherein the detecting comprises calculating a secondary differential value of the pixel value of the pixel with regard to a grouping of a predetermined number of pixels including the target pixel which are lined up to be continuous in the texture direction in the image, and determining whether the target pixel is a defective pixel based on the secondary differential values of a plurality of the groupings which are different.