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Low-bit-rate video quality detection method based on blocking effects and noises

A technology for video quality and detection methods, which is applied in the fields of digital video signal modification, television, electrical components, etc., and can solve the problems of poor performance of low-bit-rate video detection and poor performance of heavily blurred images.

Inactive Publication Date: 2014-02-05
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

However, it has been found that structural similarity algorithms often perform poorly in detecting heavily blurred images, which is the main type of distortion widely used in low-bit-rate video communications
Therefore, the structural similarity algorithm does not perform well for detecting low-bit-rate videos.

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  • Low-bit-rate video quality detection method based on blocking effects and noises
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  • Low-bit-rate video quality detection method based on blocking effects and noises

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specific Embodiment

[0182] The present invention has carried out experiment (wherein, each 10 groups of 525 lines, 625 line reference videos; each reference video provides 16 different distorted distorted videos, total 320 distorted videos). And the method proposed in the VQEG Phase I test report is used to quantitatively test the model. First, according to a logic function, the model value and the subjective test value (MOS) provided by VQEG are nonlinearly fitted; then, 3 quantitative indicators are used as the basis for evaluating the model.

[0183] Index 1: Correlation coefficient between objective score and subjective score after nonlinear regression analysis;

[0184] Indicator 2: Spearman's correlation coefficient between objective and subjective ratings;

[0185] Indicator 3: The proportion of points where the error is greater than 2 times the standard deviation after nonlinear fitting prediction.

[0186] Among them, index 1 is used to detect the accuracy of model prediction; index 2...

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Abstract

The invention discloses a low-bit-rate video quality detection method based on blocking effects and noises. The method comprises the following steps of: 1) obtaining a reference video and a distortion video from a public video library, and respectively converting the reference video and the distortion video into corresponding images by frames, namely a reference video frame and a distortion video frame; 2) carrying out blocking effect detection to the images; 3) carrying out noise detection to the images; and 4) fusing a blocking effect operator and a noise operator to improve an SSIM (structural similarity) algorithm. The method has the beneficial effect that the method fuses blocking effect concealment, noise concealment and the like to more conform to the human vision feeling. The simpleness and the high efficiency of the SSIM algorithm are ensured, meanwhile, the method is improved based on the human eye characteristic to more conform to the subjective feeling of the human eye.

Description

technical field [0001] The invention belongs to the field of video quality detection, in particular to a low bit rate video quality detection method based on block effect and noise. Background technique [0002] At present, with the wide application of compressed video, people pay more and more attention to the problem of video quality detection. Aiming at the objective detection method of the damage caused by compression coding to video quality, the currently recognized method is Structural Similarity Algorithm (SSIM), which detects the quality of images and videos by measuring structural distortion. However, it has been found that structural similarity algorithms often perform poorly in detecting heavily blurred images, which is the main type of distortion widely used in low-bit-rate video communications. Therefore, structural similarity algorithms do not perform well for detecting low-bit-rate videos. Contents of the invention [0003] The invention discloses a low bi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N17/02H04N7/64H04N19/86H04N19/89
Inventor 魏振华林洁宋士波李国栋周宏张乐董书元郭立燕徐彦杰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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