Image compression with inpainting

In common wireless scenario, the data needs to be efficiently compressed by utilizing the channel bandwidth and thus to increase the data bit rate. The image is transmitted over the channel block by block. We can enhance the compression performance by intelligently choosing blocks from the image with non-relevant information in it. By removing these small blocks, we can reconstruct the lost data using correlation between the lost blocks and its neighbors. This is automatically done in a fast way by using the boundary information, thereby allowing to simultaneously fill-in numerous regions containing completely different structures and surrounding backgrounds. This paper addresses the issue of performing inpainting on the decompressed image to fill in the missing information. The effectiveness of this approach is demonstrated with various compression factors. Quantitative analysis of the desired compression ratio and the quality of the restored image is conducted.