An image processing method, comprising: acquiring an image to be processed; converting the image to be processed into a three-channel YUV image, characterized in that, the method further comprises: performing a convolution operation on a Y-channel image, a U-channel image and a V-channel image in the three-channel YUV image to generate an R-channel image, a G-channel image and a B-channel image, respectively, and acquiring a three-channel RGB image; and pre-processing the three-channel RGB image, wherein the converting the image to be processed into the three-channel YUV image comprises: dividing the image to be processed into a first Y-channel image and a UV-channel image; adjusting the first Y-channel image to acquire a Y-channel image having dimensions of (N, 1, W, H); splitting the UV-channel image to acquire a U-channel image having dimensions of (N, 1, W*0.5, H*0.5) and a V-channel image having the dimensions of (N, 1, W*0.5, H*0.5); performing double sampling on the U-channel image having the dimensions of (N, 1, W*0.5, H*0.5) and the V-channel image having the dimensions of (N, 1, W*0.5, H*0.5) to acquire a U-channel image having the dimensions of (N, 1, W, H) and a V-channel image having the dimensions of (N, 1, W, H) respectively; and merging the Y-channel image having the dimensions of (N, 1, W, H), the U-channel image having the dimensions of (N, 1, W, H) and the V-channel image having the dimensions of (N, 1, W, H) to acquire a YUV image having dimensions of (N, 3, W, H); wherein, N represents the number of images to be processed, 1 represents that there is 1 channel in the Y-channel image, the U-channel image, or the V-channel image, 3 represents that there are 3 channels in the YUV image, W is a width of the image to be processed, and H is a height of the image to be processed. acquiring an image to be processed; converting the image to be processed into a three-channel YUV image, characterized in that, the method further comprises: performing a convolution operation on a Y-channel image, a U-channel image and a V-channel image in the three-channel YUV image to generate an R-channel image, a G-channel image and a B-channel image, respectively, and acquiring a three-channel RGB image; and pre-processing the three-channel RGB image, performing a convolution operation on a Y-channel image, a U-channel image and a V-channel image in the three-channel YUV image to generate an R-channel image, a G-channel image and a B-channel image, respectively, and acquiring a three-channel RGB image; and pre-processing the three-channel RGB image, wherein the converting the image to be processed into the three-channel YUV image comprises: dividing the image to be processed into a first Y-channel image and a UV-channel image; adjusting the first Y-channel image to acquire a Y-channel image having dimensions of (N, 1, W, H); splitting the UV-channel image to acquire a U-channel image having dimensions of (N, 1, W*0.5, H*0.5) and a V-channel image having the dimensions of (N, 1, W*0.5, H*0.5); performing double sampling on the U-channel image having the dimensions of (N, 1, W*0.5, H*0.5) and the V-channel image having the dimensions of (N, 1, W*0.5, H*0.5) to acquire a U-channel image having the dimensions of (N, 1, W, H) and a V-channel image having the dimensions of (N, 1, W, H) respectively; and merging the Y-channel image having the dimensions of (N, 1, W, H), the U-channel image having the dimensions of (N, 1, W, H) and the V-channel image having the dimensions of (N, 1, W, H) to acquire a YUV image having dimensions of (N, 3, W, H); wherein, N represents the number of images to be processed, 1 represents that there is 1 channel in the Y-channel image, the U-channel image, or the V-channel image, 3 represents that there are 3 channels in the YUV image, W is a width of the image to be processed, and H is a height of the image to be processed. dividing the image to be processed into a first Y-channel image and a UV-channel image; adjusting the first Y-channel image to acquire a Y-channel image having dimensions of (N, 1, W, H); splitting the UV-channel image to acquire a U-channel image having dimensions of (N, 1, W*0.5, H*0.5) and a V-channel image having the dimensions of (N, 1, W*0.5, H*0.5); performing double sampling on the U-channel image having the dimensions of (N, 1, W*0.5, H*0.5) and the V-channel image having the dimensions of (N, 1, W*0.5, H*0.5) to acquire a U-channel image having the dimensions of (N, 1, W, H) and a V-channel image having the dimensions of (N, 1, W, H) respectively; and merging the Y-channel image having the dimensions of (N, 1, W, H), the U-channel image having the dimensions of (N, 1, W, H) and the V-channel image having the dimensions of (N, 1, W, H) to acquire a YUV image having dimensions of (N, 3, W, H); wherein, N represents the number of images to be processed, 1 represents that there is 1 channel in the Y-channel image, the U-channel image, or the V-channel image, 3 represents that there are 3 channels in the YUV image, W is a width of the image to be processed, and H is a height of the image to be processed.