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Full-reference color image quality evaluation method based on visual saliency

A color image, quality evaluation technology, applied in the field of image processing, can solve the problem of insufficient prediction accuracy

Inactive Publication Date: 2014-09-03
TONGJI UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to provide a full-reference color image quality evaluation method based on visual salience, which makes full use of the relationship between visual saliency and image quality, and introduces the chroma component of the color image at the same time, greatly improving the full-reference image quality evaluation The accuracy of the method meets the requirements of the full-reference image quality evaluation method in practical applications, and solves the problem that the prediction accuracy of the traditional image quality evaluation method is not high enough

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[0045] A full-reference color image quality evaluation method based on visual salience shown in the present invention makes full use of the relationship between visual salience and image quality, and introduces the chroma component of the color image at the same time, greatly improving the full-reference image quality evaluation method. accuracy.

[0046] which inherits from figure 1 The framework of a typical full-reference image quality assessment method is shown. Assume that there is already a reference image f(1)f and a distorted image f(2) (both RGB images). For f(1) and f(2)f, we need to determine their visual saliency maps respectively (using VS 1 (x) and VS 2 (x) indicates), the gradient map (respectively with G 1 (x) and G 2 (x) indicates), and then combine the respective yellow-blue contrast chroma components of the two images (respectively using M 1 (x) and M 2 (x) represents), red and green contrast chroma components (respectively with N 1 (x) and N 2 (x) ...

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Abstract

The invention discloses a full-reference color image quality evaluation method based on visual saliency. The method comprises the steps of (1) determining visual saliency maps VS1(x) and VS2(x), gradient maps G1(x) and G2(x), yellow and blue contrast chromaticity components M1(x) and M2(x), and red and green contrast chromaticity components N1(x) and N2(x) of a reference image f(1) and a distorted image f(2) respectively; (2) determining a local quality map S(x) according to the VS1(x), VS2(x), G1(x), G2(x), M1(x), M2(x), N1(x) and N2(x); (3) obtaining the final quality VXI of f(2) with the larger one of VS1(x) and VS2(x) as the weight function. During local quality evaluation, the color image chromaticity components are introduced by means of the relationship between visual saliency and image quality. During distorted image quality score determination, visual saliency serves as the weight function, the objectively evaluated quality of the distorted image is obtained, and the accuracy of the full-reference image quality evaluation method is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image quality evaluation technology, in particular to a full-reference color image quality evaluation technology. Background technique [0002] Image processing is a technique for analyzing, processing and processing images to meet visual, psychological and other requirements. Image processing is an application of signal processing to the image domain. Most images are stored in digital form, so image processing refers to digital image processing in many cases. A few decades ago, image processing was mostly performed by optical devices in analog mode. Due to the parallel nature of these optical methods, they still occupy a core position in many application fields, but due to the substantial increase in computer speed, these technologies are rapidly being replaced by digital image processing methods. At the current level of technology, in the process of compression, tr...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 张林顾中一李宏宇沈莹
Owner TONGJI UNIV
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