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Error Resilience for Compressed Sensing with Multiple-Channel Transmission

Compressed sensing, a newly developed scheme in data compression, has attracted much attention in researches due to its new concepts and superior performances over conventional techniques. Besides looking for compression performances, it would be practical to aim at data transmission of compressed information, and few papers in this field can be found in literature. For the transmission of compressed information, because it is vulnerable to channel errors, error resilience for compressed information has long been a practical topic for researches and applications. With compressed sensing, very few amounts of coefficients are capable of reconstructing the image with reasonable quality. In this paper, for the delivery of compressively sensed coefficients over independent and lossy channels, reconstructed image with reasonable quality over a variety of lossy rates can be obtained. Simulation results have pointed out that with the proposed algorithm, the applicability and superiority in performances can be acquired over conventional algorithm in compressed sensing.