帧间自适应压缩感知算法在视频编码中的应用

Research of Video Coding Based on Inter-frame Self-adapting Compressive Sensing

阐述了压缩感知的理论框架,分析了视频信号帧间相关性特点,提出了一种帧间自适应压缩感知的视频编码算法。本方法中,利用视频差值信号的特点建立自适应感知模型,自适应的选择稀疏域和重构域对信号进行压缩感知恢复,在空域稀疏度较强的情况下选择空域作为稀疏域和重构域,在空域稀疏度较差的情况下选择小波域作为稀疏域和重构域。用测试视频进行了仿真分析,结果表明该算法能够取得较好的效果。

Firstly, the theoretical framework of compressive sensing is expounded in this paper. Secondly, the correlation of the inter-frames is analyzed and a video coding algorithm based on adaptive compressive sensing is presented. This method uses the characteristics of the signal＇ s difference to establish a self-adaptive sensing model. It can choose the time domain to be sparsity domain and reconstruction domain when the sparsity of the different signal is good in time domain, otherwise choosing the wavelet domain. The conclusion shows that the algorithm has a good performance.