Abstract: The present disclosure is related to systems and methods for noise reduction. The method includes obtaining a current frame including a plurality of first pixels. The method includes determining an interframe difference between each first pixel in the current frame and a corresponding pixel in a previous frame obtained prior to the current frame. The method includes generating a denoised frame by performing a first noise reduction operation on the current frame. The method includes determining an intraframe difference for each second pixel in the denoised frame. The method includes generating a target frame by performing a second noise reduction operation on the denoised frame.

Abstract: The present disclosure relates to systems and methods for image processing. The system may obtain low-frequency component of a first image. For each element of the first image, the system may adjust a luminance of the element in response to determining that the luminance of the element is less than a predetermined luminance threshold. The system may determine a first luminance weight map corresponding to the first image based on the adjusted luminance of each element of the first image. The system may obtain low-frequency component of a second image and determine a second luminance weight map corresponding to the second image based on a luminance of each element of the second image. The system may further determine a fused image based on the low-frequency component of the first image, the first luminance weight map, the low-frequency component of the second image, and the second luminance weight map.

Abstract: The present disclosure is related to systems and methods for noise reduction. The method includes determining a first image block in each of a group of continuous frames including a current frame and a plurality of reference frames based on coordinates of a target pixel in the current frame. The method includes determining at least one second image block corresponding to the first image block in each of the group of continuous frames. The method includes determining an average offset between the at least one second image block in the current frame and the second image blocks in the plurality of reference frames. The method includes determining a spatial domain filtering intensity and a temporal domain filtering intensity for the target pixel in the current frame.

Abstract: The present disclosure is related to systems and methods for noise reduction. The method includes obtaining a current frame including a plurality of first pixels. The method includes determining an interframe difference between each first pixel in the current frame and a corresponding pixel in a previous frame obtained prior to the current frame. The method includes generating a denoised frame by performing a first noise reduction operation on the current frame. The method includes determining an intraframe difference for each second pixel in the denoised frame. The method includes generating a target frame by performing a second noise reduction operation on the denoised frame.

Abstract: The present disclosure relates to systems and methods for image processing. The system may obtain low-frequency component of a first image. For each element of the first image, the system may adjust a luminance of the element in response to determining that the luminance of the element is less than a predetermined luminance threshold. The system may determine a first luminance weight map corresponding to the first image based on the adjusted luminance of each element of the first image. The system may obtain low-frequency component of a second image and determine a second luminance weight map corresponding to the second image based on a luminance of each element of the second image. The system may further determine a fused image based on the low-frequency component of the first image, the first luminance weight map, the low-frequency component of the second image, and the second luminance weight map.

Abstract: The present disclosure relates to systems and methods for image sharpening. The systems and methods may obtain a target image to be processed, the target image including one or more target pixels to be processed. For each of the one or more target pixels, the systems and methods may select one or more previous pixels and one or more subsequent pixels along a predetermined direction in the target image; determine a first gray value based on the one or more previous pixels and a second gray value based on the one or more subsequent pixels; select a target gray value from the first gray value and the second gray value based on an initial gray value of the target pixel; and determine an adjusted gray value of the target pixel based on the initial gray value and the target gray value.

Abstract: The present disclosure is related to systems and methods for noise reduction. The method includes determining a first image block in each of a group of continuous frames including a current frame and a plurality of reference frames based on coordinates of a target pixel in the current frame. The method includes determining at least one second image block corresponding to the first image block in each of the group of continuous frames. The method includes determining an average offset between the at least one second image block in the current frame and the second image blocks in the plurality of reference frames. The method includes determining a spatial domain filtering intensity and a temporal domain filtering intensity for the target pixel in the current frame.

Abstract: The present disclosure relates to systems and methods for image sharpening. The systems and methods may obtain a target image to be processed, the target image including one or more target pixels to be processed. For each of the one or more target pixels, the systems and methods may select one or more previous pixels and one or more subsequent pixels along a predetermined direction in the target image; determine a first gray value based on the one or more previous pixels and a second gray value based on the one or more subsequent pixels; select a target gray value from the first gray value and the second gray value based on an initial gray value of the target pixel; and determine an adjusted gray value of the target pixel based on the initial gray value and the target gray value.