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A full-reference color screen image quality assessment method based on phase consistency

A technology of screen image and quality evaluation, applied in the field of image processing, can solve the problem of lack of screen image quality evaluation

Active Publication Date: 2019-02-26
HUAQIAO UNIVERSITY
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Problems solved by technology

Methods for quality assessment of screen images are currently lacking in the field of image processing

Method used

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  • A full-reference color screen image quality assessment method based on phase consistency
  • A full-reference color screen image quality assessment method based on phase consistency
  • A full-reference color screen image quality assessment method based on phase consistency

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Embodiment Construction

[0046] In order to solve the problem that the image evaluation method in the prior art cannot be applied to screen image quality evaluation, the present invention provides a full-reference color screen image quality evaluation method based on phase consistency, such as figure 1 As shown, the specific steps are as follows:

[0047]Step 1, receiving a reference color screen image r and a distorted color screen image d.

[0048] Step 2, respectively convert the reference screen image r and the distorted screen image d from the RGB color space to the CIELAB color space. The conversion method is as follows:

[0049]

[0050] Thus, the luminance component L of the reference screen image r and the distorted screen image d is obtained r (x,y) and L d (x,y), yellow-blue contrast chroma component M r (x,y) and M d (x,y), red-green contrast chroma component N r (x,y) and N d (x,y).

[0051] Step 3, extract the brightness component L of the reference screen image r r The phase...

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Abstract

The invention relates to a full-reference color screen image quality assessment method based on phase congruency and belongs to the image processing field. The method is proposed according to features of dependence of a human vision system on structural information when understanding images and screen image comprising rich edge structure information; and the method comprises the following steps: converting an RGB color space of a reference screen image and a distortion screen image into a CIELAB color match space; extracting phase congruency characteristic graphs of a reference screen image brightness component and a distortion screen image brightness component; with phase congruency, a yellow-blue comparison chrominance component and a red-green comparison chrominance component being combined, calculating a local image quality image; and serving the standard deviation of the local image quality image as a final screen image quality value. The method makes full use of the phase congruency and chrominance component similarity to assess the quality of the color distortion screen image, reflects subjective perception of the human vision system for the screen images, and has good screen image quality assessment performance and is simple to calculate.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to an image quality evaluation method, in particular to a phase consistency-based full-reference color screen image quality evaluation method. Background technique [0002] Digital images will introduce different types and degrees of distortion in different stages of image processing (acquisition, compression, transmission, storage, and display, etc.). Therefore, how to effectively evaluate image quality has become an important research topic in the field of image processing. The full-reference image quality assessment method is based on a given reference image and uses mathematical and engineering methods to measure the image quality, which is easy to apply to real-time image processing systems. [0003] At present, Mean Square Error (Mean Square Error, MSE) and Peak Signal to Noise Ratio (Peak Signal to Noise Ratio, PSNR) are most widely used in full reference image quality assessmen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10024G06T2207/20024G06T2207/30168
Inventor 曾焕强倪张凯马林曹九稳蔡灿辉马凯光
Owner HUAQIAO UNIVERSITY
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