A digital image watermarking of self-recovery base on the SPIHT algorithm

Information hiding for authenticating and recovery the missing information of the multimedia has been exploited extensively in the last decade. We propose a novel self-recovery watermarking algorithm based on wavelet tansformation and set partitioning in hierarchical trees coding. Utilizing the zero-tree coding to compress each block of the host image and gained self-recovery watermark data, and then scramble before embed the watermark data into the latter two bit place of the host image's bit-plane code. Compareing the difference of the each block's self-recovery watermark and feature data of the received image to find the tampered places, and then decode the self-recovery watermark to replace these places. The experimental results prove the algorithm can accurately locates the juggled position and has good ability for self-recovery.