Blocking DWT-SPIHT Algorithm Based Self-Recovery Watermarking Scheme Using Improved Arnold Transform

Abstract

We have seen an explosive growth in digitization of multimedia (image, audio and video) content and data exchange in the Internet. Hence, digital data can be transfer across the Internet. So security and copyright protection of multimedia documents is area of interest. Watermarking technology has developed to check authenticity of multi-media content. A watermarking algorithm of self–recovery and Tamper Detection for color image is proposed based on wavelet transform and SPIHT (set partition on hierarchical tree) Algorithm. Firstly, each color channel (R, G, and B) is divided into blocks and then each block of HOST IMAGE is encoded using SPIHT ALGORITHM, and encoded data which is self-recovery base for color image is scrambled using improved Arnold transform and embedded to latter two bit place of host image. Comparing the difference of each block‘s self-recovery watermark and feature data of receiving image to find Tampered region, and replace each tampered block with decoded self-recovery watermarked data. Experimental results show that this algorithm can accurately locate the tampered position and has good ability of self-recovery.