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Image quality detection method based on vision attention

A technology of visual attention and image quality, which is used in image enhancement, image analysis, image data processing, etc.

Inactive Publication Date: 2015-09-09
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

However, the existing image information quality detection methods cannot obtain the most consistent results with human subjective evaluation.

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  • Image quality detection method based on vision attention
  • Image quality detection method based on vision attention
  • Image quality detection method based on vision attention

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Embodiment Construction

[0031] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0032] A kind of image quality detection method based on visual attention of the present invention, on the basis of using the visual information fidelity (VIF) method, has increased the image structure information analysis that takes variance as the visual decision factor, and establishes the simulated human The vision system’s visual attention distribution model for the image divides the image into blocks and calculates the variance of the structural information complexity of each image separately, and calculates the VIF method weighted according to the variance of the structural information complexity of different image regions, and finally compares the reference image Assess image quality. The method of the invention can realize the subjective quality assess...

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Abstract

The invention relates to an image quality detection method based on vision attention. A vision attention distribution model for simulating a human being vision system on an image is established by virtue of the image structural information analysis adopting variance as a vision decision factor on the basis of a vision information fidelity (VIF) method. The method comprises the following steps: firstly carrying out the variance calculation for the structural information complexity in different areas of the image, carrying out the weighted calculation for the VIF method according to the structural information complexity variance of different image areas, and finally evaluating the image quality by comparing with a reference image, so that the subjective quality evaluation of the simulation human being vision system on the image is realized. By adopting the image quality detection method, a result consistent with the subjective evaluation of the human beings can be obtained.

Description

technical field [0001] The invention relates to an image quality detection method, in particular to an image quality detection method based on visual attention, which can use a computing model to simulate human subjective consciousness as much as possible to evaluate image quality. Background technique [0002] At present, there are many methods for objectively evaluating image quality, including PSNR, SSIM, VIF, SEDLAI, and IGM. However, these existing methods all have the defect that they do not match the subjective evaluation results of the Human Visual System (ie, Human Visual System, HVS for short). [0003] Take the VIF (Visual Information Fidelity, VIF for short) method as an example. [0004] VIF was originally applied to natural image quality evaluation, relying on natural scene statistical model, image signal distortion channel and human visual distortion model. like figure 1 The schematic diagram of the VIF evaluation model is shown, and the VIF evaluation mode...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 刘欣刚兰泽华李玉
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA