Image restoration using similar region search and digital watermark

Baroumand et al. proposed the image restoration method using the correlation of the image, which is called the watermark driven decentralized best matching (WDBM). In this method, the most similar region for each block is searched and the position information of the most similar region is embedded as digital watermark. However, in some cases, a part of pixels in the corrupted block cannot be restored by WDBM. In this paper, we propose an image restoration method that embeds the position information of the similar region into the block which is located away from the current block at regular intervals. The proposed method can restore all pixels in the corrupted block with a high probability and improve the restoration rate.