Image processing method and device

Abstract

The invention discloses an image processing method and device. According to the method, after image data of a target image is received, the image data can be processed based on network parameters to obtain enhanced image feature data of the target image, and the target image is processed based on the enhanced image feature data, wherein the target image is a low-quality image, and the network parameters are used for indicating a corresponding relation between feature data of the low-quality image and feature data of a clear image. According to the method, the processing effect of the low-quality image can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to an image processing method and device. Background technique [0002] In recent years, with the rapid development of deep learning technology, breakthroughs have been made in the research of high-level vision represented by image classification, object recognition, semantic segmentation and other issues, which are largely attributed to ImageNet, PASCAL The emergence of large image databases such as VOC. However, the images in these databases are usually clear and lossless high-quality images. However, in the actual imaging process, interference factors such as light (low light, overexposure, etc.), weather factors (rain, snow, fog, etc.), noise and motion will destroy the structure and statistical information of the image, resulting in low-quality images. image. Therefore, in practical vision applications, what the computer vision system needs to process is likely t...

AI Technical Summary

Problems solved by technology

However, this type of algorithm cannot guarantee that the computer network can extract complete structural or statistical features from the enhanced image, so the recognition accuracy is low

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