Image quality evaluation method and device based on extended Prewitt operator

Abstract

The invention provides an image quality evaluation method and device based on an extended Prewitt operator, and the method comprises the steps: obtaining a reference image and a to-be-evaluated distorted image; preprocessing the reference image and the distorted image, and determining a brightness factor and a contrast factor of the reference image and the distorted image; performing convolution operation on the reference image and the distorted image according to the extended Prewitt operator, and calculating a first gradient value corresponding to the reference image and a second gradient value corresponding to the distorted image; determining a gradient similarity factor of the reference image and the distorted image according to the first gradient value and the second gradient value; and determining an objective evaluation result of the image quality by combining the gradient similarity factor, the brightness factor and the contrast factor. According to the method, the defects of atraditional Prewitt operator are correspondingly improved, the quality of the noise image can be evaluated, and the method has good consistency with a subjective evaluation result.

Description

technical field [0001] The invention relates to the fields of image processing and image quality evaluation, in particular to an image quality evaluation method and device based on an extended Prewitt operator. Background technique [0002] Image Quality Assessment (IQA) is a commonly used image processing technology, which can be used to analyze and study image characteristics and judge image distortion. With the rapid popularization of digital image and communication technology, image quality assessment (IQA) has become an important issue in many applications such as image acquisition, transmission, compression, restoration and enhancement. From the perspective of participants, image quality evaluation methods can be divided into subjective and objective evaluation methods. Since subjective IQA methods are not easy to use in many scenarios, such as real-time systems and automated systems, it is necessary to develop objective IQA indicators to automatically and robustly me...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an image quality evaluation method and device based on the extended Prewitt operator, so as to solve the problem that some detail information will be lost when the traditional Prewitt operator is used to detect the edge of the image, resulting in blurred image edges

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