Reliable transmission of compressed media forms an inevitable part in digital communication systems. Compressed media are vulnerable to channel errors, which may cause severe degradation to reconstructed results. Hence error control techniques can work with compression schemes to help alleviate reconstructed image quality. We choose block compressed sensing for compression, and we expect the inherent characteristics of images may be helpful for enhancing reconstructed results. Quadtree decomposition can classify the image into smooth or active areas, which follows the inherent characteristics. After transmitting compressed media, at the decoder, we apply error protection and error regression schemes based on quadtree decomposition with the expectation of enhanced results. Simulations show that proposed method can help to enhance reconstructed image quality.
