Image restoration method and device, computer readable storage medium and electronic equipment

Abstract

The invention relates to an image restoration method and device, a computer readable storage medium and electronic equipment. The method comprises the steps of determining a first feature map of a damaged image; Determining a missing part feature map of a target area of the damaged image according to the first feature map, and obtaining a target feature map according to the first feature map and the missing part feature map; And generating a repair image corresponding to the damaged image according to the target feature map. Therefore, according to the technical scheme, the image is repaired by determining the missing part feature map of the damaged image, on one hand, the missing part in the damaged image can be rapidly and accurately determined during image repairing, and therefore the accuracy and precision of an image repairing result are effectively improved. And on the other hand, the missing part in the damaged image can be more concerned during image restoration, so that the robustness and the mobility of the image restoration method can be effectively improved, and the user experience is improved.

Description

technical field [0001] The present disclosure relates to the field of image processing, and in particular, to an image restoration method, device, computer-readable storage medium, and electronic equipment. Background technique [0002] The main purpose of image inpainting is to restore the missing parts in the image, which has a wide range of applications in real life. In the prior art, image inpainting is usually implemented by deep learning methods. In this image inpainting method, the training is supervised by calculating the pixel difference between the image inpainted by the network and the complete image, so that the image inpainting model obtained from training is robust. Sex is lower. Contents of the invention [0003] The purpose of the present disclosure is to provide a high-accuracy image restoration method, device, computer-readable storage medium and electronic equipment. [0004] In order to achieve the above purpose, according to the first aspect of the p...

AI Technical Summary

Problems solved by technology

In the prior art, image inpainting is usually implemented by deep learning methods. In this image inpainting method, the training is supervised by calculating the pixel difference between the image inpainted by the network and the complete image, so that the image inpainting model obtained from training is robust. lower sex

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