Image brightness statistical method and imaging device

1. A method for calculating image brightness, comprising:

obtaining a bit width of a pixel brightness value of an image to be processed and a maximum allowable bit width of a block random access memory of a hardware device for brightness histogram calculation, wherein each pixel brightness value is represented by data with a plurality of bits, and the number of the plurality of bits is equal to the bit width of a pixel brightness value;

dividing bits of each pixel of the image to be processed into a plurality of groups based on the bit width of the pixel brightness value of the image to be processed in such a manner that a number of bits of each group is smaller than or equal to the maximum allowable bit width;

performing brightness histogram calculation based on the data of each group of bits to obtain a brightness histogram component corresponding to the group;

determining a brightness evaluation value component corresponding to each group based on the brightness histogram component corresponding to the group and a number of pixels in the image to be processed; and

determining a brightness evaluation value of the image to be processed based on the respective brightness evaluation value components.

2. The method of claim 1 , wherein said dividing bits of each pixel of the image to be processed into the plurality of groups of bits based on the bit width of the pixel brightness value of the image to be processed in such a manner that a number of bits of each group is smaller than or equal to the maximum allowable bit width comprises:

segmenting data bits of each pixel data of the image to be processed in a group order based on the bit width of the pixel brightness value of the image to be processed, to form the plurality of groups of pixel data in such a manner that the data bits in the plurality of groups form the complete pixel data when combined, wherein the bit width of the pixel data in each group is smaller than or equal to the maximum allowable bit width, and a sum of the bit widths of the plurality of groups of pixel data is equal to the bit width of the pixel brightness value of the image to be processed.

3. The method of claim 1 , wherein said performing the brightness histogram calculation based on the data of each group of bits to obtain the brightness histogram component corresponding to the group comprises:

for the pixel data in the group, using possible values of the pixel data in the group as addresses of the block random access memory, and counting a number of pixels corresponding to each address in the pixel data in the group to form the brightness histogram component corresponding to the group, the brightness histogram component including the number of pixels for each possible value of the pixel data.

4. The method of claim 1 , wherein said determining the brightness evaluation value component corresponding to each group based on the brightness histogram component corresponding to the group and the number of pixels in the image to be processed comprises:

obtaining a number of pixels for each possible value of the pixel data in the group based on the brightness histogram component corresponding to the group;

multiplying each possible value of the pixel data with the number of pixels corresponding to the possible value, and determining a sum of results of the multiplying for all possible values as an accumulated brightness value component corresponding to the group; and

dividing the accumulated brightness value component corresponding to the group by the number of pixels in the image to be processed, to obtain the brightness evaluation value component corresponding to the group.

5. The method of claim 1 , wherein said determining the brightness evaluation value of the image to be processed based on the respective brightness evaluation value components comprises:

concatenating binary values of the respective brightness evaluation value components in an order of their corresponding groups, to form concatenated data representing the brightness evaluation value of the image to be processed.

6. The method of claim 1 , wherein the bit width of the pixel brightness value of the image to be processed is 24 bits, and

said dividing bits of each pixel of the image to be processed into the plurality of groups comprises: segmenting each pixel data of the image to be processed in a group order to form three groups of 8-bit pixel data.

7. The method of claim 1 , wherein said dividing bits of each pixel of the image to be processed into the plurality of groups comprises:

segmenting data bits of each pixel data of the image to be processed uniformly in a group order to form the plurality of groups of pixel data having equal data bit widths.

8. The method of claim 7 , wherein the data bit widths are an integer power of 2.

9. The method of claim 1 , wherein the image processor is a Field Programmable Gate Array (FPGA) and the image to be processed is a High Dynamic Range (HDR) image.

10. An imaging device, comprising an image sensor and an image processor, wherein the image sensor is configured to capture an image, and the image processor is configured to:

obtain the captured image as an image to be processed, and obtain a bit width of a pixel brightness value of the image to be processed and a maximum allowable bit width of a block random access memory of a hardware device for brightness histogram calculation, wherein each pixel brightness value is represented by data with a plurality of bits, and the number of the plurality of bits is equal to the bit width;

divide bits of each pixel of the image to be processed into a plurality of groups based on the bit width of the pixel brightness value of the image to be processed in such a manner that a number of bits of each group is smaller than or equal to the maximum allowable bit width;

perform brightness histogram calculation based on the data of each group of bits to obtain a brightness histogram component corresponding to the group;

determine a brightness evaluation value component corresponding to each group based on the brightness histogram component corresponding to the group and a number of pixels in the image to be processed; and

determine a brightness evaluation value of the image to be processed based on the respective brightness evaluation value components.

11. The imaging device of claim 10 , wherein the image processor is configured to:

segment data bits of each pixel data of the image to be processed in a group order based on the bit width of the pixel brightness value of the image to be processed, to form the plurality of groups of pixel data in such a manner that the data bits in the plurality of groups form the complete pixel data when combined, wherein the bit width of the pixel data in each group is smaller than or equal to the maximum allowable bit width, and a sum of the bit widths of the plurality of groups of pixel data is equal to the bit width of the pixel brightness value of the image to be processed.

12. The imaging device of claim 10 , wherein the image processor is configured to:

for the pixel data in the group, use possible values of the pixel data in the group as addresses of the block random access memory, and count a number of pixels corresponding to each address in the pixel data in the group to form the brightness histogram component corresponding to the group, the brightness histogram component including the number of pixels for each possible value of the pixel data.

13. The imaging device of claim 10 , wherein the image processor is configured to:

obtain a number of pixels for each possible value of the pixel data in the group based on the brightness histogram component corresponding to the group;

multiply each possible value of the pixel data with the number of pixels corresponding to the possible value, and determining a sum of results of the multiplying for all possible values as an accumulated brightness value component corresponding to the group; and

divide the accumulated brightness value component corresponding to the group by the number of pixels in the image to be processed, to obtain the brightness evaluation value component corresponding to the group.

14. The imaging device of claim 10 , wherein the image processor is configured to:

concatenate binary values of the respective brightness evaluation value components in an order of their corresponding groups, to form concatenated data representing the brightness evaluation value of the image to be processed.

15. The imaging device of claim 10 , wherein the image processor is configured to:

segment data bits of each pixel data of the image to be processed uniformly in a group order to form the plurality of groups of pixel data having equal data bit widths.

16. The imaging device of claim 10 , wherein the image to be processed is a High Dynamic Range (HDR) image.

17. The imaging device of claim 16 , wherein the image sensor is configured to capture the image to obtain original image data, and combine the original image data to obtain the HDR image, and

the image processor is configured to obtain the HDR image from the image sensor.

18. The imaging device of claim 16 , wherein the image sensor is configured to capture the image to obtain original image data, and

the image processor is configured to obtain the original image data from the image sensor, and combine the original image data to obtain the HDR image.

19. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the program, when executed by a processor, implements a method for calculating image brightness, the method comprising:

obtaining a bit width of a pixel brightness value of an image to be processed and a maximum allowable bit width of a block random access memory of a hardware device for brightness histogram calculation, wherein each pixel brightness value is represented by data with a plurality of bits, and the number of the plurality of bits is equal to the bit width;

dividing bits of each pixel of the image to be processed into a plurality of groups based on the bit width of the pixel brightness value of the image to be processed in such a manner that a number of bits of each group is smaller than or equal to the maximum allowable bit width;

performing brightness histogram calculation based on the data of each group of bits to obtain a brightness histogram component corresponding to the group;

determining a brightness evaluation value component corresponding to each group based on the brightness histogram component corresponding to the group and a number of pixels in the image to be processed; and

determining a brightness evaluation value of the image to be processed based on the respective brightness evaluation value components.

20. The non-transitory computer readable storage medium in claim 19 , wherein said dividing bits of each pixel of the image to be processed into the plurality of groups of bits based on the bit width of the pixel brightness value of the image to be processed in such a manner that a number of bits of each group is smaller than or equal to the maximum allowable bit width comprises:

segmenting data bits of each pixel data of the image to be processed in a group order based on the bit width of the pixel brightness value of the image to be processed, to form the plurality of groups of pixel data in such a manner that the data bits in the plurality of groups form the complete pixel data when combined, wherein the bit width of the pixel data in each group is smaller than or equal to the maximum allowable bit width, and a sum of the bit widths of the plurality of groups of pixel data is equal to the bit width of the pixel brightness value of the image to be processed.