Systems and methods for image processing

Abstract

According to aspects of the present disclosure, methods, systems, and media for processing an image are provided. A system may include at least one computer-readable storage medium including a set of instructions for processing an original image, and at least one processor in communication with the at least one computer-readable storage medium. When executing the set of instructions, the system is directed to obtain a first luminance image of the original image; decompose the first luminance image to provide a plurality of first decomposed images; adjust pixel frequencies in at least some of the plurality of first decomposed images to generate a plurality of second decomposed images; generate a second luminance image of the original image based on the plurality of second decomposed images; and determine a final image of the original image based on the first luminance image, the second luminance image, and the original image.

1 . A system for image processing, comprising:
 at least one computer-readable storage medium including a set of instructions for processing an original image; and   at least one processor in communication with the at least one computer-readable storage medium, wherein when executing the set of instructions, the at least one processor is directed to:
 obtain a first luminance image of the original image; 
 decompose the first luminance image of the original image to provide a plurality of first decomposed images; 
 adjust pixel frequencies in at least some of the plurality of first decomposed images to generate a plurality of second decomposed images; 
 generate a second luminance image of the original image based on the plurality of second decomposed images; and 
 determine a final image of the original image based on the first luminance image, the second luminance image, and the original image. 
   
     
     
         2 . The system of  claim 1 , wherein to adjust pixel frequencies in at least some of the plurality of first decomposed images, the at least one processor is further directed to:
 for a specific pixel in a first decomposed image,
 identify a frequency of the specific pixel; 
 determine a gain of the specific pixel based on the frequency of the specific pixel and a frequency adjustment threshold associated with the first decomposed image; and 
 adjust the frequency of the specific pixel based on the gain of the specific pixel. 
   
     
     
         3 . The system of  claim 2 , wherein to determine a gain of the specific pixel, the at least one processor is further directed to:
 identify, from the plurality of the first decomposed images, a certain number of pixels each of which is located at a position corresponding to the specific pixel of the first decomposed images;   determine the frequencies of the identified certain number of pixels, a pixel of the certain number of pixels having a frequency;   filter the certain number of frequencies to obtain a plurality of filtered frequencies;   determine an average filtered frequency associated with the position based on the plurality of filtered frequencies;   determine the gain associated with the position based on the average filtered frequency; and   assign the gain associated with the position to the specific pixel.   
     
     
         4 . The system of  claim 1 , wherein to determine the final image of the original image based on the first luminance image, the second luminance image, and the original image, the at least one processor is further directed to:
 for an original pixel of a plurality of original pixels in the original image,
 identify the position of the original pixel in the original image; 
 determine a first luminance of a pixel in the first luminance image, the pixel in the first luminance image being at the same position as the original pixel in the original image; 
 determine a second luminance of a pixel in the second luminance image, the pixel in the second luminance image being at the same position as the original pixel in the original image; and 
 determine a final pixel associated with the original pixel based on the first luminance and the second luminance; and 
   generate the final image of the original image based on the determined final pixels associated with the plurality of original pixels.   
     
     
         5 . The system of  claim 1 , wherein to obtain the plurality of first decomposed images, the at least one processor is further directed to:
 perform one or more orders of decomposition on the first luminance image.   
     
     
         6 . The system of  claim 5 , wherein the one or more orders of decomposition are performed based on a wavelet transformation. 
     
     
         7 . The system of  claim 1 , wherein to reconstruct a second luminance image of the original image based on the plurality of second decomposed images, the at least one processor is further directed to:
 perform a reverse operation of the decomposition that provides the plurality of first decomposed images.   
     
     
         8 - 12 . (canceled) 
     
     
         13 . A method for processing an original image, comprising:
 obtaining a first luminance image of the original image;   decomposing the first luminance image of the original image to provide a plurality of first decomposed images;   adjusting pixel frequencies in at least some of the plurality of first decomposed images to generate a plurality of second decomposed images;   generating a second luminance image of the original image based on the plurality of second decomposed images; and   determining a final image of the original image based on the first luminance image, the second luminance image, and the original image.   
     
     
         14 . The method of  claim 13 , wherein adjusting pixel frequencies in at least some of the plurality of first decomposed images comprises:
 for a specific pixel in a first decomposed image,
 identifying a frequency of the specific pixel; 
 determining a gain of the specific pixel based on the frequency of the specific pixel and a frequency adjustment threshold associated with the first decomposed image; and 
 adjusting the frequency of the specific pixel based on the gain of the specific pixel. 
   
     
     
         15 . The method of  claim 14 , wherein determining a gain of the specific pixel comprises:
 identifying from the plurality of the first decomposed images, a certain number of pixels each of which is located at a position corresponding to the specific pixel of the first decomposed images;   determining the frequencies of the identified certain number of pixels, a pixel of the certain number of pixels having a frequency;   filtering the certain number of frequencies to obtain a plurality of filtered frequencies;   determining an average filtered frequency associated with the position based on the plurality of filtered frequencies;   determining the gain associated with the position based on the average filtered frequency; and   assigning the gain associated with the position to the specific pixel.   
     
     
         16 . The method of  claim 13 , wherein determining the final image of the original image based on the first luminance image, the second luminance image, and the original image comprises:
 for an original pixel of a plurality of original pixels in the original image,
 identifying the position of the original pixel in the original image; 
 determining a first luminance of a pixel in the first luminance image, the pixel in the first luminance image being at the same position as the original pixel in the original image; 
 determining a second luminance of a pixel in the second luminance image, the pixel in the second luminance image being at the same position as the original pixel in the original image; and 
 determining a final pixel associated with the original pixel based on the first luminance and the second luminance; and 
   generating the final image of the original image based on the determined final pixels associated with the plurality of original pixels.   
     
     
         17 . The method of  claim 13 , wherein obtaining the plurality of first decomposed images comprises:
 performing one or more orders of decomposition on the first luminance image.   
     
     
         18 . The method of  claim 17 , wherein the one or more orders of decomposition are performed based on a wavelet transformation. 
     
     
         19 . The method of  claim 13 , wherein reconstructing a second luminance image of the original image based on the plurality of second decomposed images comprises:
 performing a reverse operation of the decomposition that provides the plurality of first decomposed images.   
     
     
         20 - 24 . (canceled) 
     
     
         25 . A non-transitory computer readable medium, comprising at least one set of instructions for processing an original image, wherein when executed by at least one processor, the at least one set of instructions directs the at least one processor to perform acts of:
 obtaining a first luminance image of the original image;   decomposing the first luminance image of the original image to provide a plurality of first decomposed images;   adjusting pixel frequencies in at least some of the plurality of first decomposed images to generate a plurality of second decomposed images;   generating a second luminance image of the original image based on the plurality of second decomposed images; and   determining a final image of the original image based on the first luminance image, the second luminance image, and the original image.   
     
     
         26 - 38 . (canceled) 
     
     
         39 . The system of  claim 3 , wherein to filter the certain number of frequencies to obtain the plurality of filtered frequencies, the at least one processor is further directed to:
 obtain the plurality of filtered frequencies based on first decomposed images of high frequency.   
     
     
         40 . The system of  claim 39 , wherein to obtain the plurality of filtered frequencies based on first decomposed images of high frequency, the at least one processor is further directed to:
 identify Nth-order first decomposed images of high frequency;   determine frequencies of the pixels at a same position of the identified Nth-order first decomposed images of high frequency;   determine an average frequency value associated with the position based on the frequencies of the pixels; and   obtain a filtered frequency associated with the position by filtering the average frequency value.   
     
     
         41 . The method of  claim 15 , wherein the filtering the certain number of frequencies to obtain a plurality of filtered frequencies comprises:
 obtaining the plurality of filtered frequencies based on first decomposed images of high frequency.   
     
     
         42 . The method of  claim 41 , wherein the obtaining the plurality of filtered frequencies based on first decomposed images of high frequency comprises:
 identifying Nth-order first decomposed images of high frequency;   determining frequencies of the pixels at a same position of the identified Nth-order first decomposed images of high frequency;   determining an average frequency value associated with the position based on the frequencies of the pixels; and   obtaining a filtered frequency associated with the position by filtering the average frequency value.   
     
     
         43 . The non-transitory computer readable medium of  claim 25 , wherein the adjusting pixel frequencies in at least some of the plurality of first decomposed images comprises:
 for a specific pixel in a first decomposed image,
 identifying a frequency of the specific pixel; 
 determining a gain of the specific pixel based on the frequency of the specific pixel and a frequency adjustment threshold associated with the first decomposed image; and 
 adjusting the frequency of the specific pixel based on the gain of the specific pixel.