Image processing method and apparatus

An image processing apparatus comprising at least one processor coupled to a memory, wherein the memory stores a program including instructions that, when executed by the at least one processor, cause the image processing apparatus to perform operations comprising:

• decomposing a first image to obtain a first structure sub-image and a first detail sub-image, wherein the first image is any frame of image in video data other than a first frame, a first frequency is lower than a second frequency, the first frequency is a frequency of information comprised in the first structure sub-image, and the second frequency is a frequency of information comprised in the first detail sub-image;
• fusing first hidden state information and the first structure sub-image to obtain a second structure sub-image, and splicing the first hidden state information and the first detail sub-image to obtain a second detail sub-image, wherein the first hidden state information comprises a feature extracted from a second image, and the second image comprises at least one frame of image in the video data adjacent to the first image;
• performing feature extraction based on the second structure sub-image and the second detail sub-image, to obtain a structure feature and a detail feature;
• and
• obtaining an output image based on the obtained structure feature and the obtained detail feature, so that a resolution of the output image is higher than a resolution of the first image.

A non-transitory machine-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• decomposing a first image to obtain a first structure sub-image and a first detail sub-image, wherein the first image is any frame of image in video data other than a first frame, a first frequency is lower than a second frequency, the first frequency is a frequency of information comprised in the first structure sub-image, and the second frequency is a frequency of information comprised in the first detail sub-image;
• fusing first hidden state information and the first structure sub-image to obtain a second structure sub-image, and splicing the first hidden state information and the first detail sub-image to obtain a second detail sub-image, wherein the first hidden state information comprises a feature extracted from a second image, and the second image comprises at least one frame of image in the video data adjacent to the first image;
• performing feature extraction based on the second structure sub-image and the second detail sub-image, to obtain a structure feature and a detail feature;
• and
• obtaining an output image based on the obtained structure feature and the obtained detail feature, so that a resolution of the output image is higher than a resolution of the first image.