Color image quality evaluation method based on HVSs and quaternions

Abstract

The invention discloses a color image quality evaluation method based on HVSs and quaternions and belongs to the technical field of image processing and computer vision. The method includes the steps that firstly, mathematic evaluation models of an original reference image and a distorted image to be evaluated are established through analysis of human vision features, wherein the mathematic evaluation models comprise spatial location functions Q<L>, local variances Q<V>, texture edge complexity functions Q<TE> and color functions Q<C> of the images; secondly, quaternion arrays of the original reference image and the distorted image to be evaluated are established and singular value decomposition is conducted on the quaternion arrays, so that singular value feature vectors of the images can be acquired; thirdly, the image distortion degree is measured through the Euclidean distance of the singular value feature vectors of the original reference image and the distorted image to be evaluated. According to the method, the human vision features and the quaternions are combined, brightness and chromaticity information of the images is extracted, the spatial location functions, the texture edge complexity functions and the local variances are established through the human vision features, and an evaluation result accords with a result generated in the mode that the images are sensed by the human eyes.

Description

technical field [0001] The present invention relates to the technical field of image processing and computer vision, and more specifically, relates to a mathematical model that uses the characteristics of the human visual system to construct a mathematical model that is consistent with the image observed by the human eye, and combines it with quaternion singular value decomposition to perform color image processing. method of quality assessment. Background technique [0002] Image quality is one of the important parameters in the field of image processing and computer vision. With the development of computer science and technology, the requirements for image quality in printing, ceramic tiles, images, and image retrieval are getting higher and higher. However, in image acquisition, Different degrees of image distortion and image degradation will occur during processing, compression, transmission, display, etc. [0003] Human beings are the ultimate recipients of images, so ...

AI Technical Summary

Problems solved by technology

[0009] In order to overcome the problem that the traditional evaluation method needs to convert the color image into a grayscale image for processing when constructing the evaluation model, resulting in a large deviation between the evaluation result and the situation actually seen by the human eye, the present invention provides a method based on HVS and The color image quality evaluation method of the quaternion; the present invention proposes to combine the visual characteristics of the human eye with the quaternion, extract the brightness and chromaticity information of the image, and use the visual characteristics of the human eye to construct a spatial position function, a texture edge complexity function and Local variance, in order to improve the traditional method of splitting the R, G, and B channels, the energy characteristics of the image are extracted by using the singular value decomposition of the quaternion, so that the evaluation result is more consistent with the effect of human perception of the image

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