Fault-tolerance rate distortion optimization video coding method based on structure similarity (SSIM) evaluation

Abstract

The invention relates to a fault-tolerance rate distortion optimization video coding method and a fault-tolerance rate distortion optimization video coding device based on subjective visual structure similarity (SSIM) evaluation. The method comprises the following steps that: the SSIM is used as the distortion evaluation standard to be combined with information feedback of signal channels, and the end-to-end distortion estimation based on the SSIM evaluation is carried out at the coding end; the bit number required by the coding node is calculated according to the in-frame or inter-frame coding mode; the video fault-tolerance coding rate distortion optimization is carried out through calculating fault-tolerance Lagrangian factors, and the optimum coding mode is found under the condition of easy-to-fail network transmission. The method and the device provided by the invention solve the problem that the distortion evaluation in the traditional combined signal source signal channel video coding does not perfectly conform to the human visual characteristics. Meanwhile, the objective distortion estimation caused by signal channel transmission is introduced in the signal source code, the objective distortion transmission influence caused by errors can be inhibited, and the video coding technology adapting to the objective visual quality optimization of the fault-tolerance rate distortion optimization of the signal channel transmission is formed.

Description

technical field [0001] The invention relates to the field of wireless communication video coding, in particular to an error-tolerant rate-distortion optimization video coding method and device based on subjective visual SSIM evaluation. Background technique [0002] With the rapid development of wireless network technology, wireless multimedia applications are becoming more and more extensive, such as wireless video conferencing systems, wireless video surveillance and so on. Due to the inherent instability and error-prone characteristics of wireless networks, the quality of wireless video transmission has been greatly affected. In order to improve the quality of video transmission, the method of combining source channels can relatively effectively improve the quality of video transmission. Currently, joint source-channel coding mainly adopts rate-distortion optimization based on MSE distortion description to control end-to-end video distortion. This is mainly a continuati...

AI Technical Summary

Problems solved by technology

[0004] Although SSIM was introduced into the encoding process of H.264 / AVC as a distortion measure for RDO mode selection, which improved the visual perception quality of the encoded reconstructed video, they did not take into account the error concealment caused by the transmission and decoding end. Therefore, the rate-distortion optimization coding method that does not consider the subjective SSIM distortion caused by the channel cannot well control and adapt to the end-to-end video quality degradation caused by the wireless transmission process.

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