Anisotropy in resolution spatial filter image processing apparatus, and information processing method
An information processing method includes calculating a second spatial filter having a size of the number of elements larger than a blur size of an image using a finite first spatial filter having an anisotropy in resolution of the image and a finite filter in which a value of a total sum of elements is zero and at least two elements have a non-zero value, and generating a plurality of spatial filters having a predetermined number of elements or less from the second spatial filter.
1. An image processing apparatus comprising:
a processor configured to
calculate a second spatial filter having number of elements larger than a blur size of an image using a finite first spatial filter having an anisotropy in resolution of the image and a finite filter in which a value of a total sum of elements is zero and at least two elements have a non-zero value; and
generate a plurality of spatial filters having a predetermined number of elements or less from the second spatial filter.
2. The image processing apparatus according to claim 1 ,
wherein the processor is configured to generate the plurality of spatial filters from a third spatial filter calculated by subtracting the second spatial filter from a filter in which a value of a center element is one and a value of elements other than the center element is zero.
3. The image processing apparatus according to claim 2 ,
wherein the processor is configured to calculate a fifth spatial filter by subtracting a filter generated using a fourth spatial filter extracted from the first spatial filter and a finite filter in which the total sum of values of elements is zero and at least two elements have a non-zero value from another filter in which a value of a center element is one and a value of elements other than the center element is zero, and generates the plurality of spatial filters using the fifth spatial filter and the third spatial filter.
4. The image processing apparatus according to claim 3 ,
wherein the processor is configured to calculate a sixth spatial filter such that a difference between the third spatial filter and a filter generated by using the fifth spatial filter and the sixth spatial filter becomes a minimum value, and
when the fifth spatial filter or the sixth spatial filter having a size larger than the predetermined number of elements is present, the processor repeats the generation of the plurality of spatial filters until the size of the fifth spatial filter or the sixth spatial filter becomes the predetermined number of elements or less.
5. The image processing apparatus according to claim 1 ,
wherein the processor is configured to determine a blur size by a blur function of the image, and configured to calculate the second spatial filter having a size of the number of elements larger than the blur size.
6. The image processing apparatus according to claim 1 ,
wherein the processor is configured to perform a filtering on an input image and subtract the image after the filter processing from the input image to generate a corrected image.
7. The image processing apparatus according to claim 2 ,
wherein the processor is configured to perform a filtering on an input image using the plurality of spatial filters to generate a corrected image.
8. The image processing apparatus according to claim 6 ,
wherein the processor is configured to multiply a predetermined gain to a value obtained after the filtering by any spatial filter of the plurality of spatial filters.
9. The image processing apparatus according to claim 8 ,
wherein the processor is configured to set the gain to zero when an absolute value of the value after the filtering is equal to or less than a lower threshold value, and set the gain to a constant value when the absolute value is equal to or larger than an upper threshold value, and is configured to allow the gain to vary stepwisely when the absolute value falls between the lower threshold value and the upper threshold value, thereby determining the predetermined gain.
10. The image processing apparatus according to claim 9 ,
wherein the processor is configured to determine a target spatial filter for multiplying gain, among the plurality of spatial filters, according to a result obtained by analyzing an intensity of the filter based on a filter coefficient.
11. An information processing method comprising:
calculating a second spatial filter having a size of the number of elements larger than a blur size of an image using a finite first spatial filter having an anisotropy in resolution of the image and a finite filter in which a value of a total sum of elements is zero and at least two elements have a non-zero value; and
generating a plurality of spatial filters having a predetermined number of elements or less from the second spatial filter.
12. A non-transitory computer-readable storage medium storing a program, when executed by a computer, which perform:
calculating a second spatial filter having a size of the number of elements larger than a blur size of an image using a finite first spatial filter having an anisotropy in resolution of the image and a finite filter in which a value of a total sum of elements is zero and at least two elements have a non-zero value; and
generating a plurality of spatial filters having a predetermined number of elements or less from the second spatial filter.