Video coding mode selection method and system based on SSIM evaluation

Abstract

The invention relates to a video coding mode selection method and system based on SSIM evaluation. The method includes the following steps: a step 101) establishing a rate distortion optimization model for each macro block to be coded to acquire lagrange cost values of various coding modes; a step 102) determining a lagrange factor of the frame level of a frame to which the current macro block to be coded belongs according to distortion values of the front two frames of the frame based on SSE evaluation and an average value of ratios between the distortion values based on SSIM evaluation, and then performing further zoom on the obtained lagrange factor of the frame level by utilizing the importance measurement of the macro block to be coded to acquire the lagrange factor of the macro block level of the macro block to be coded; and a step 103) calculating the lagrange cost values of the current coded macro block of various coding modes according to the acquired the lagrange factor of the current macro block to be coded, and finally selecting the coding mode having the minimum lagrange cost value as the coding mode of the current coded macro block for coding.

Description

technical field [0001] The invention relates to the field of video coding and communication, in particular to a video coding mode selection method and system based on SSIM evaluation. Background technique [0002] With the rapid development of network technology, multimedia applications, especially video applications, are becoming more and more widely used. Due to the limitation of transmission bandwidth, video coding and compression play an important role in efficient video communication. H.264 / AVC coding has achieved good compression performance and wide application. The better coding performance of the H.264 / AVC standard benefits from the rate-distortion optimization (RDO) model and a series of coding modes it adopts. The objective distortion description methods (such as SAD, MSE, etc.) used in the rate-distortion optimization RDO have the advantages of simple calculation and simple implementation, but they cannot reflect human visual characteristics well, so in H.264 / A...

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Problems solved by technology

[0004] However, although the existing technology introduces the subjective visual structure similarity SSIM into the H.264 / AVC encoding process as the distortion metric for RDO mode selection, which improves the visual perception quality of the encoded reconstructed video, the current method Both introduce a certain computational complexity, the literature [Huang, Y.H., Ou, T.S., Su, P.Y., Chen, H.: Perceptual rate-distortion optimization using structural similarity index as quality metric.IEEE Trans.CSV T, 1614-1624 (November 2010)], the author used the method of repeating the encoding of the key frame twice to predict the Lagrangian factor of the next few frames, which is not conducive to the application of real-time encoding

Especially in the decision-making process of the Lagrangian factor in the rate-distortion optimization model, its characteristics related to video content, and the advantages of the Lagrange factor in the traditional rate-distortion optimization model based on mean square error evaluation have not been well understood. Utilization, resulting in the existing technology can not achieve the best coding performance

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