Image quality detection method, apparatus, computer device, and storage medium

Abstract

The invention provides an image quality detection method, an apparatus, a computer device, and a storage medium, wherein the method comprises: Using the preset neural network model, the subjective quality score of the target image to be detected is predicted, The initial subjective quality score corresponding to the target image is generated, and the saliency detection is performed on the target image to determine the saliency value corresponding to the target image, and the initial subjective quality score corresponding to the target image is corrected by using the saliency value to determinethe final subjective quality score of the target image. In this method, the preset neural network model is used to predict the subjective quality score of the image, and the initial subjective quality score is obtained, which avoids the difference of artificial evaluation, improves the objectivity and reliability of image quality evaluation, and corrects the initial subjective quality score by significance value, and improves the accuracy of the subjective quality score.

Description

technical field [0001] The present application relates to the technical field of image evaluation, and in particular to an image quality detection method, device, computer equipment and storage medium. Background technique [0002] Before pushing image resources to users, images need to be reviewed to filter out images with poor quality. Currently, methods to measure image quality include subjective evaluation and image index measurement. For example, the image quality is detected according to the image's mean square error, peak signal-to-noise ratio, and structural similarity index. Although these indicators can reflect the quality of the image to a certain extent, they cannot represent the subjective score of the image. [0003] When subjectively scoring an image, the image quality is mainly judged based on the evaluations of multiple observers, and the subjective quality score of the image is obtained. However, this subjective quality evaluation method has poor objecti...

AI Technical Summary

Problems solved by technology

[0004] This application proposes an image quality detection method, device, computer equipment and storage medium, which are used to solve the problem of poor objectivity and reliability in the evaluation method of determining the subjective quality score of the image based on the evaluation of the observer in the related art

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