Abstract
Compressed sensing has attracted much attention in researches due to its new thoughts and superior performances in data compression. For the delivery of compressed information, because it is vulnerable to channel errors during transmission, error control for compressed information has long been a practical topic for researches and applications. In this paper, we aim at the error control of compressed sensing of images. With compressed sensing, very few amounts of coefficients are capable of reconstructing the image with reasonable quality. 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 this field.
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