基于压缩感知的图像鲁棒编码传输

Robust Coding Transmission for Image Based on Compressive Sensing

针对无线传感器网络这种资源受限的易丢包网络中图像鲁棒传输问题,本文提出了基于压缩感知的图像鲁棒编码传输算法,实现单个操作中同时采样压缩并且能够进行鲁棒传输。采用小波变换(DWT)对图像进行稀疏表示,再对稀疏系数进行块Hadamard压缩感知测量,为获得图像的高性能重建,在解码端采用高效的GRSR重建算法。通过实验仿真表明,密文在传输过程中能够抵抗高丢包率的攻击,随着丢包率的上升,本算法获得的重建性能缓慢下降,在丢包率为0.3时,解码端仍可以获得相对稳定的重构图像,说明该算法具有抵抗丢包攻击的鲁棒性,能够满足图像鲁棒传输。

Image robust transmission in a wireless visual sensor network(WVSN)with limited resources over an unreliable and easy to packet loss wireless channel is challenging.A robust image coding algorithm based on compressed sensing is designed in this pa⁃per,which achieves simultaneous sampling and compression in a single operation and can perform robust transmission.The images are sparsely represented with wavelet transform(DWT)and sampled with block Hadamard pseudo-random measurement matrix.Then the measurements are quantized and packed for transmission to the decoding end.We adopt an efficient GRSR reconstruction algorithm to attain high-performance image reconstruction at the decoding end.The experimental result shows that ciphertext can resist high packet loss attacks during transmission.The reconstruction performance obtained by this algorithm slowly decreaseswith the packet loss rate increases.The decoder can still obtain the relatively stable reconstructed image when the packet loss rate is 0.3.The result shows that the algorithm is robust against packet loss attacks and can meet the robust transmission of images.