WSN image acquisition method based on interleaving extraction and block compressed sensing
Qiang Fan1, 2, Dongjian He1, Min Zhang3
1College of Mechanical and Electronic engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
2College of Water Resources and Architectural, Northwest A&F University, Yangling 712100, Shaanxi, China
3College of Science, Northwest A&F University, Yangling 712100, Shaanxi, China
Aiming at disadvantages of current wireless sensor network in the aspect of image acquisition, this thesis proposes a WSN image acquisition method based on Interleaving Extraction and Block Compressed Sensing (IE-BCS). The method uses interleaving extraction to divide an original image into several sub-images at an encoding terminal, then compressive sampling and encoding for each sub-image by means of observation matrix weighted BCS and transmits data to a decoding terminal by their own independent channels. Next, the decoding terminal chooses corresponding decoders according to reception situations and reconstructs the original images by solving sparse optimization problems. Experimental results show that the method can save hardware resources effectively and improve robustness of image transmission.