基于压缩感知的高效视频解码算法

无线多媒体传感器网络系统存在无线信道随机衰落以及高误码率等问题，对视频应用的影响尤为突出。压缩感知理论应用于视频信号编码提供了一种抗无线信道随机衰落以及降低误码率的思路，但由于压缩感知重构算法的高复杂度，使得在解码端很难高效实时地恢复出视频序列。本文通过改进SL0算法的迭代搜索方向、迭代搜索方法 以及循环终止条件等提出了一种快速高效的基于平滑范数的压缩感知视频解码算法（Accurate direction smooth l0 algorithm,ADSL0）。算法采用严格的下降方向以及修正的迭代步长，保证了迭代路径的最优。实验结果表明，本文所提算法在重构精度和重构耗时上都明显优于其他同类算法。

Efficient Video Decoding Algorithm Based on Compressed Sensing

For wireless multimedia sensor networks, in the radio channel there exist random fading, high error rate and other issues, especially on video applications. Applying the compressed sensing theory to video encoding provides an approach to resist random wireless channel fading and reduce error rate. However, the high complexity of compressed sensing reconstruction algorithm makes it difficult to recover the real-time video sequences at the decoder. Here, by improving iterative search algorithm, iterative search method and the loop termination conditions, a fast and efficient smoothed l0 norm-based video decoding compressed sensing algorithm (ADSL0) is presented. To ensure the optimal iteration path, the algorithm uses a strict descent direction and correction iterative step. Experimental results show that the proposed algorithm in terms of time-consumingre modeling or reconstruction accuracy is significantly better than other similar algorithms.