An improved distributed compressed video sensing scheme in reconstruction algorithm

Under the new video application scene of resource-constrained coding side such as wireless sensor networks, compressed sensing technique provides the possibility to solve the high-complexity problem of encoder because of its highly efficient compression encoding performance. Distributed compressed video sensing system provides a solution to satisfy the requirements of low encoder complexity and high coding efficiency in the new scene. This paper proposes a new distributed compressed video sensing scheme, which effectively improves the reconstruction quality of non-key frames. An auxiliary iterative termination decision algorithm is proposed to improve the performance of key frames initial reconstruction. An adaptive weights prediction algorithm is put forward to reduce the overall complexity. Besides, this paper proposes a position-based cross reconstruction algorithm to improve the decoded quality of the middle non-key frames in the group of pictures. The simulation results show that the proposed scheme effectively improves the overall performance of the distributed compressed video sensing system especially for high motion sequences.