基于压缩感知的视频压缩方案设计与实现

摘要

基于压缩感知理论设计出了针对视频编解码的处理方案.该理论是近来提出的一种新颖的图像编解码算法,它能够对稀疏性信号进行远低于Nyquist采样率编码.应用该理论对视频图像进行采样以降低视频的采样速率,依据视频图像的帧内、帧间相关性对视频帧进行建模,并结合综合感知模型进行压缩感知恢复.实验结果表明,本文设计的模型具有较好的效果.%The scheme about video compression is designed which was based on compressive sensing. This novel algorithm that could code the sparse signal with far few sampling ration by Nyquist had been put forward recently. The video image is sampled with compressive sensing in order to reduce the sampling ration on video, and the video compression model is constructed combinging with the joint sparsity model by means of the fact which video image having the relationship on framer and near framer and also itself. The result of experiment proposes the good effectiveness of our model.