Image restoration method and apparatus, device, medium and product

A device, comprising a processor and a memory,

• wherein the processor is configured to execute an instruction stored in the memory, to cause the device to:
• acquire an image to be restored;
• determine, from an image library, a plurality of similar images of the image to be restored, wherein the plurality of similar images comprise at least a first similar image and a second similar image;
• and
• perform a concat on the image to be restored, the first similar image and the second similar image;
• input a concatenated image into an image restoration model;
• obtain a first encoding result by serializing and encoding, based on a first branch of the image restoration model, a feature map extracted from the concatenated image;
• obtain a second encoding result by separately encoding feature sub-map sets obtained by segmenting the feature map according to different scales and fully connecting encoding results of feature sub-maps in the feature sub-map sets based on a second branch of the image restoration model;
• and obtain a restored image according to the first encoding result and the second encoding result.

A non-transitory computer-readable storage medium, comprising an instruction, wherein the instruction instructs a device to;

• acquire an image to be restored;
• determine, from an image library, a plurality of similar images of the image to be restored, wherein the plurality of similar images comprise at least a first similar image and a second similar image;
• and
• perform a concat on the image to be restored, the first similar image and the second similar image;
• input a concatenated image into an image restoration model;
• obtain a first encoding result by serializing and encoding, based on a first branch of the image restoration model, a feature map extracted from the concatenated image, obtain a second encoding result by separately encoding feature sub-map sets obtained by segmenting the feature map according to different scales and fully connecting encoding results of feature sub-maps in the feature sub-map sets based on a second branch of the image restoration model;
• and obtain a restored image according to the first encoding result and the second encoding result.