Systems and methods for image processing

1. A method for image processing, implemented on a computing device including a processor and a storage, the method comprising:

receiving an original image comprising a plurality of pixels;

determining a plurality of smoothed images by performing a plurality of low-pass filtering operations on the original image based on a plurality of filtering kernels, wherein each of the plurality of filtering kernels is associated with a respective kernel size;

determining a plurality of enhanced images by comparing the original image with the plurality of smoothed images; and

generating a target image based on at least one of the plurality of enhanced images and at least one of: the original image or at least one of the plurality of smoothed images.

2. The method of claim 1 , wherein each of the plurality of filtering kernels comprises a respective kernel size determined based on a scale size of a respective one of a plurality of features of the original image.

3. The method of claim 1 , wherein each of the plurality of filtering kernels is one of a mean filtering kernel or a bilateral filtering kernel.

4. The method of claim 1 , wherein the determining the plurality of enhanced images by comparing the original image with the plurality of smoothed images comprises:

for each of the plurality of smoothed images,

determining an intermediate image by subtracting the smoothed image from the original image; and

determining a corresponding enhanced image by processing the intermediate image.

5. The method of claim 4 , wherein the determining the corresponding enhanced image by processing the intermediate image comprises:

determining an image enhancement curve based on a filtering kernel used to determine the intermediate image, wherein the image enhancement curve is associated with intensities of pixels in the intermediate image;

processing the intermediate image based on the image enhancement curve; and

determining the corresponding enhanced image by combining the intermediate image and the processed intermediate image.

6. The method of claim 1 , wherein the generating the target image based on at least one of the plurality of enhanced images and at least one of the original image or at least one of the plurality of smoothed images comprises:

selecting a smoothed image corresponding to a filtering kernel with a maximum size; and

generating the target image based on at least one of the plurality of enhanced images and the selected smoothed image.

7. The method of claim 1 , wherein the generating the target image based on the plurality of second processed images and at least one of the original image or the plurality of intermediate images comprises:

performing a gray equalization on the at least one of the original image or the plurality of smoothed images; and

generating the target image based on the at least one of the plurality of enhanced images and the equalized at least one of the original image or at least one of the plurality of smoothed images.

8. A system for image processing, comprising:

a storage medium to store a set of instructions; and

a processor, communicatively coupled to the storage medium, to execute the set of instructions to:

receive an original image comprising a plurality of pixels;

determine a plurality of smoothed images by performing a plurality of low-pass filtering operations on the original image based on a plurality of filtering kernels, wherein each of the plurality of filtering kernels is associated with a respective kernel size;

determine a plurality of enhanced images by comparing the original image with the plurality of smoothed images; and

generate a target image based on at least one of the plurality of enhanced images and at least one of: the original image or at least one of the plurality of smoothed images.

9. The system of claim 8 , wherein each of the plurality of filtering kernels comprises a respective kernel size determined based on a scale size of a respective one of a plurality of features of the original image.

10. The system of claim 8 , wherein each of the plurality of filtering kernels is one of a mean filtering kernel or a bilateral filtering kernel.

11. The system of claim 8 , wherein to determine the plurality of enhanced images by comparing the original image with the plurality of smoothed images, the processor is to:

for each of the plurality of smoothed images,

determine an intermediate image by subtracting the smoothed image from the original image; and

determine a corresponding enhanced image by processing the intermediate image.

12. The system of claim 11 , wherein to determine the corresponding enhanced image by processing the intermediate image, the processor is to:

determine an image enhancement curve based on a filtering kernel used to determine the intermediate image, wherein the image enhancement curve is associated with intensities of pixels in the intermediate image;

process the intermediate image based on the image enhancement curve; and

determine the corresponding enhanced image by combining the intermediate image and the processed intermediate image.

13. The system of claim 8 , wherein to generate the target image based on at least one of the plurality of enhanced images and at least one of the original image or at least one of the plurality of smoothed images, the processor is to:

select a smoothed image corresponding to a filtering kernel with a maximum size; and

generate the target image based on at least one of the plurality of enhanced images and the selected smoothed image.

14. The system of claim 8 , wherein to generate the target image based on the plurality of second processed images and at least one of the original image or the plurality of intermediate images, the processor is to:

perform a gray equalization on the at least one of the original image or at least one of the plurality of smoothed images; and

generate the target image based on the at least one of the plurality of enhanced images and the equalized at least one of the original image or at least one of the plurality of smoothed images.

15. A non-transitory computer readable medium, comprising executable instructions that, when executed by at least one processor, direct the at least one processor to perform a method, the method comprising:

receiving an original image comprising a plurality of pixels;

determining a plurality of smoothed images by performing a plurality of low-pass filtering operations on the original image based on a plurality of filtering kernels, wherein each of the plurality of filtering kernels is associated with a respective kernel size;

determining a plurality of enhanced images by comparing the original image with the plurality of smoothed images; and

generating a target image based on at least one of the plurality of enhanced images and at least one of: the original image or at least one of the plurality of smoothed images.

16. The non-transitory computer readable medium of claim 15 , wherein each of the plurality of filtering kernels comprises a respective kernel size determined based on a scale size of a respective one of a plurality of features of the original image.

17. The non-transitory computer readable medium of claim 15 , wherein the generating the target image based on at least one of the plurality of enhanced images and at least one of the original image or at least one of the plurality of smoothed images comprises:

selecting a smoothed image corresponding to a filtering kernel with a maximum size; and

generating the target image based on at least one of the plurality of enhanced images and the selected smoothed image.