Reduced Bit rate using image inpainting

Abstract

In wireless communication, the data need to be efficiently compressed by utilizing the channel bandwidth and thus to increase the data bit rate. We can enhance the compression performance by not sending the significant portion of the image. This can be done by intelligently choosing the blocks from the image with non-relevant information in it. By removing these blocks, size of the image is reduced and the amount of bits needed to transmit the image can be significantly reduced. The removed block's information can be recovered by using the correlation between the blocks and its neighbors. This is done automatically and in a fast way with the boundary information of the lost blocks, 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. © 2014 Springer India.