Image quality evaluation method and device, terminal and readable storage medium

Abstract

The invention provides an image quality evaluation method and device, a terminal and a readable storage medium, and relates to the technical field of computers. The method comprises the following steps: determining target dimension data of a target image, wherein the target dimension data comprises one or more of image definition dimension data, color richness dimension data and value degree dimension data; and according to the target dimension data, determining a quality score of the target image, the quality score being used for evaluating the quality of the target image. Target dimension data are comprehensively considered under one or more dimensions; the quality score of the target image is determined to evaluate the quality of the target image, the evaluation of the target image is more objective, the problems of poor accuracy and low speed of manual evaluation are solved, the accuracy and speed of image quality evaluation can be improved, and the method can be suitable for evaluating a large number of images.

Description

[0001] This disclosure claims the priority of the Chinese patent application submitted to the Intellectual Property Office of the People's Republic of China on July 12, 2019, the application number is 201910631351.5, and the invention title is "image quality evaluation method, device, terminal and readable storage medium", The entire contents of which are incorporated by reference in this disclosure. technical field [0002] The present disclosure relates to the field of computer technology, and in particular to an image quality assessment method, device, terminal and readable storage medium. Background technique [0003] With the continuous development of computer technology and the popularization of intelligent hardware devices, the development of video has been promoted. With the development of video, people put forward higher requirements for images or video frames, and the evaluation of image or video frame quality becomes Very important, evaluating image or video frame...

AI Technical Summary

Problems solved by technology

[0004] However, in related technologies, manual evaluation is usually used to evaluate the quality of images or video frames. Manual evaluation standards are difficult to unify, resulting in poor accuracy of image quality evaluation, and the speed of manual evaluation is slow, which is not conducive to evaluating a large number of images or video frames.

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