Image recovery of geometric distortion with multi-bit data embedding

Image transmission is sometimes accompanied with geometric distortions. A novel image recovery scheme with multi-bit binary message is proposed in this paper. In the proposed scheme, several predefined templates are introduced to an image in the discrete wavelet transform domain. A blind template detection algorithm is performed on the geometrically distorted image to extract locations of the templates and the hidden message, which are modeled probabilistically in a Bayesian network. Once the locations of the templates are successfully detected, they serve as the registration references in the recovering process. As a result, the image attacked by geometric distortions can be recovered according to the estimated displacements. The goal of this project is to develop a scheme to correct various geometric distortions with relatively lower bit error rate.