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Reference-free video image quality estimating method based on reconstruction

A video image and quality estimation technology, applied in image communication, digital video signal modification, electrical components, etc., can solve the problems of error estimation failure, image quality estimation deviation from the real value, etc.

Inactive Publication Date: 2016-05-18
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

The error estimation of model (1) in this case will be invalid, so the quantization step size and distortion upper limit are often used to estimate its error, which will overestimate the distortion error and cause the image quality estimation to be tested to deviate greatly from the real value

Method used

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  • Reference-free video image quality estimating method based on reconstruction
  • Reference-free video image quality estimating method based on reconstruction
  • Reference-free video image quality estimating method based on reconstruction

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Experimental program
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Embodiment

[0031] Such as figure 1 As shown, the entire video image is regarded as a video image area to be tested, and the specific steps are as follows:

[0032] S1. Perform N×N point DCT transformation on the video image to be tested, and then combine the DCT coefficients of the entire video image into N×N subbands, where N=8.

[0033] S2, according to the formula Estimated quantization step size, where Xk Indicates any DCT coefficient value in the image under test.

[0034] S3. Statistics of the N×N subbands described in S1 are reconstructed as The probability of

[0035] Calculate the modulation parameters for each subband

[0036] Calculate the correction parameters for each subband C k ( X ^ j ) ...

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Abstract

The invention belongs to the field of video image signal processing and especially relates to improvement and optimization of a video image quality estimating algorithm. A reference-free video image quality estimating method based on reconstruction is characterized by reconstructing a part of statistical magnitude of an original image by using the spatial-frequency domain characteristic of a video image to be measured, correcting a mean square error estimating model, and greatly decreasing the influences of image complexity and sharpness on the accuracy of the mean square error estimating model; reconstructing the sub-band zero-coefficient value of each DCT of the area of the video image to be measured; separately computing the mean square error value of each DCT sub-band according to a zero coefficient and a nonzero coefficient so as to obtain a peak signal-to-noise ratio of the area of the video image to be measured. The method does not need the information and the coding information of any original image, is completely independent of an encoding and decoding algorithm, and may greatly increase the accuracy of video image quality estimation compared with a conventional algorithm.

Description

technical field [0001] The invention belongs to the field of video image signal processing, in particular to the improvement and optimization of video image quality estimation algorithms. Background technique [0002] Video image quality estimation is a process of calculating the image quality to be tested, and its main purpose is to solve the problem of video image quality evaluation. At present, video image quality estimation technology has been widely used in video broadcasting, video on demand, network video, video monitoring, video image compression processing and social network applications. For example, in a video-on-demand system, the server adjusts the film source and encoding parameters through the video quality evaluation feedback from the receiving end to ensure the viewing effect of the user; in real-time video / image communication applications, the sending end adjusts in real time according to the quality evaluation feedback from the receiving end Optimize the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/103H04N19/122H04N19/126H04N19/154H04N19/17
CPCH04N19/103H04N19/122H04N19/126H04N19/154H04N19/17
Inventor 邬震宇胡宏危鹏华谭畅余怀秦
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA