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Video quality assessment method based on pixel domain distortion factor estimation

A technology of video quality and evaluation method, applied in the fields of digital video signal modification, television, image communication, etc., can solve the problems such as the need to improve the accuracy, ignore the influence of video quality, and low universality, and achieve good flexibility and adaptability. The effect of high stability, good universality and high accuracy

Active Publication Date: 2015-01-14
ZHEJIANG UNIV
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Problems solved by technology

[0004] Although the existing video quality assessment methods have achieved certain results, some relatively mature models have been formed; such as the traditional video quality assessment method based on PSNR (Peak Signal-to-Noise Ratio) and Wang Zhou's titled Image quality assessment: From error visibility to structural similarity (IEEE Transactios on Image Processing, 2004, 13(4)) proposed a video quality evaluation method based on SSIM (structural similarity); but these methods did not consider the role of HVS in video quality evaluation , ignoring the impact of video content features on video quality, the accuracy needs to be improved; and it is difficult to apply to videos in different scenarios, and the universality is not high

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  • Video quality assessment method based on pixel domain distortion factor estimation
  • Video quality assessment method based on pixel domain distortion factor estimation
  • Video quality assessment method based on pixel domain distortion factor estimation

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Embodiment Construction

[0043] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] Such as figure 1 As shown, a video quality evaluation method based on pixel domain distortion estimation includes the following steps:

[0045] (1) Calculate the local distortion degree.

[0046]In the process of video compression, quantization is a lossy process. Generally speaking, the loss of each area is proportional to the energy it contains. Some regions with complex textures and severe motions have relatively large losses after quantization due to more energy contained in the residuals. These losses can be reflected in the pixel domain as the unit pixel difference between the distorted video and the original video in the corresponding area. The larger the difference, the greater the difference between the distorted video and the original v...

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Abstract

The invention discloses a video quality assessment method based on pixel domain distortion factor estimation, which comprises the following steps of (1) utilizing mathematical statistic characteristics of a brightness differences among adjacent pixels to calculate a local distortion factor, (2) obtaining a global distortion factor by calculating a detail loss after Gaussian filtering of a video, (3) combining the local distortion factor with the global distortion factor to estimate an integral distortion factor of the video, (4) calculating the complexity of the video by intra-frame prediction and inter-frame prediction, and (5) utilizing the distortion factor and the complexity of the video to obtain objective quality of the video. In the video quality assessment process, the method is simple in model, very high in flexibility and better in universality, and can obtain the objective quality of the video to be assessed by assessing the video, and obtain more precise assessment results for various video scenes.

Description

technical field [0001] The invention belongs to the technical field of video quality evaluation, and in particular relates to a video quality evaluation method based on pixel domain distortion degree estimation. Background technique [0002] With the rapid development of computer and network communication technology, people's demand for multimedia information is increasingly strong. In recent years, video-related applications cover various fields, such as video conferencing, video surveillance, and mobile TV. In these applications, video information needs to be compressed and transmitted before reaching the receiver, and these processes often cause video quality loss. In order to obtain a better subjective effect, it is necessary to evaluate the video quality and adjust the parameters of the encoder and transmission channel according to the results. The final receptor of the video is the human eye, and human eye observation is considered to be the most accurate method for ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N17/00H04N19/154
Inventor 陈耀武林翔宇田翔
Owner ZHEJIANG UNIV
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