摘要
高质量视频传输对网络带宽的消耗较大,对高分辨率视频的压缩处理是解决上述问题的关键技术。因此提出双路信道视频传输无损防失真压缩算法。多路信道视频传输至Internet网的视频发布服务器中,重构视频流并隐藏差错,分别通过帧内模式和帧间模式实现I帧和P帧编码。采用ATSVC-LS时空自适应融合预测法对视频完成无损压缩,通过上下文编码法优化视频流编码码率,完成双路信道视频传输的无损防失真压缩。实验结果表明,所提方法能够有效地提高压缩后视频的峰值信噪比和结构相似性,降低了视频压缩率。
High-quality video transmission consumes a significant amount of network bandwidth,and the compres-sion processing of high-resolution videos is a key technology to solve these problems.In this paper,a lossless anti-distortion compression algorithm for dual-channel video transmission was put forward.Firstly,multi-channel videos were transmitted to a publishing server of the Internet.And then,the video stream was reconstructed and the errors were hidden.Respectively,I-frame and P-frame coding were realized through intra mode and inter mode.Secondly,ATSVE-LS spatio-temporal adaptive prediction method was used to complete the lossless compression of video.Fi-nally,the coding rate of video stream was optimized by context coding method.Thus,the lossless anti-distortion com-pression for dual-channel video transmission was achieved.Experimental results show that the proposed method can effectively improve the peak signal-to-noise ratio and structure similarity of the compressed video,and reduce the video compression rate.
作者
杨吉花
杨华
贾维丁
YANG Ji-hua;YANG Hua;JIA Wei-ding(School of Big Data,Jinzhong College of Information,Jinzhong Shanxi 030800,China;Cllege of Information Science and Engineering,Shanxi Agricultural University,Jinzhong Shanxi 030800,China;College of Intelligent Engineering,Jinzhong College of Information,Jinzhong Shanxi 030800,China)
出处
《计算机仿真》
北大核心
2023年第11期181-184,397,共5页
Computer Simulation
基金
2021年山西省教育科学“十四五”规划课题(GH-21288)
2023年度山西省高等学校科技创新计划项目(2023L523)。
关键词
双路信道
视频传输
无损防失真
时空自适应融合预测
上下文编码
Dual channel
Video transmission
Lossless anti-distortion
Spatio-temporal adaptive prediction
Context coding
