A general no-reference image quality assessment method based on color perception

A technology of reference image and quality evaluation, applied in image communication, television, electrical components, etc., can solve the problem of inaccurate evaluation results, avoid secondary damage, improve performance, and achieve the effect of good consistency

Active Publication Date: 2018-01-19
北京创信众科技有限公司
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Problems solved by technology

[0011] The purpose of the present invention is to provide a general-purpose no-reference image quality evaluation method based on color perception to solve the problem that the color image needs to be converted into a grayscale image in the traditional color image quality evaluation method without reference, resulting in inaccurate evaluation results. Efficient reference-free evaluation for color images

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  • A general no-reference image quality assessment method based on color perception
  • A general no-reference image quality assessment method based on color perception
  • A general no-reference image quality assessment method based on color perception

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Embodiment 1

[0044] Embodiment 1, Figure 1 to Figure 10 A general no-reference image quality assessment method based on color perception is presented. According to the characteristics of human visual color perception, the sensitivity of the human eye to different colors in the RGB color space is different. Generally, it is more sensitive to green perception, and there is a strong correlation between the G, R and B components. . The present invention introduces MSCN coefficients and mutual information into the RGB color space, extracts each color component, the mutual information between each color component MSCN coefficient and its phase as its correlation statistical feature, and combines the G component MSCN coefficient and its neighborhood coefficient The statistical features of SVR are used for image quality evaluation, such as figure 1 shown. The concrete implementation steps of this method are as follows:

[0045] Step 1, preprocessing the RGB color image I to obtain the MSCN co...

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Abstract

The present invention discloses a channel no-reference image quality evaluation method based on color perception. The method comprises the steps of (1) extracting the statistical characteristics of a G component mean subtracted contrast normalized (MSCN) coefficient and four direction neighboring coefficients according to a color perception characteristic that human vision is more sensitive to green component in an RGB color space, (2) according to the strong correlation among R, G and B components in the RGB color space, calculating the mutual information statistical characteristics among color components and textures and phases in the RGB color space, and (3) combined with the G component MSCN coefficient and the mutual information statistical characteristics among the color components, using an SVR and an SVC to construct a no-reference image quality evaluation model and an image distortion type recognition model. The channel no-reference image quality evaluation method based on color perception is suitable for the quality evaluation of images multiple distortion types such as blur and distortion and is highly consistent with human subjective evaluation, and the method has a strong application value.

Description

technical field [0001] The invention relates to a general non-reference image quality evaluation method based on color perception, which belongs to the technical field of image processing and can be widely used in the fields of image transmission, digital TV, intelligent monitoring and the like. Background technique [0002] With the widespread use of color images, due to the influence of acquisition systems, storage media, processing algorithms, and transmission equipment, video images acquired by equipment terminals will inevitably degrade. How to evaluate the quality of color images and use the evaluation results to dynamically monitor and Adjusting the image quality, optimizing the algorithm and the parameters of the image processing system have become the key issues to be solved urgently. [0003] According to the degree of dependence on reference image information, image quality assessment methods are mainly divided into full-reference type, partial-reference type and ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/154H04N17/00
CPCH04N17/00
Inventor 李俊峰侯海洋张之祥李旭锟
Owner 北京创信众科技有限公司
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