Image error-concealment via Block-based Bilateral Filtering

We propose to use Block-based Bilateral Filter (BBF), which extends the classical Bilateral Filter (BF) through operating in block-wise manner, to conceal missing image blocks in the application of compressed image transmission over wireless channels. We show that the problem of error-concealment using BBF can be considered as a superset of image denoising using BF. The BBF has the ability to capture the block-level similarity that well matches the need of error-concealment for block based image compression. Simulation results suggest significant visual and PSNR improvements (up to 11 dB) over various classic and state-of-the-art error-concealment algorithms.