PERCEPTUAL COPYRIGHT PROTECTION USING MULTIRESOLUTION WAVELET-BASED WATERMARKING AND FUZZY LOGIC

In this paper, an efficiently DWT-based watermarking technique is proposed to embed signatures in images toattest the owner identification and discourage the unauthorized copying. This paper deals with a fuzzy inferencefilter to choose the larger entropy of coefficients to embed watermarks. Unlike most previous watermarkingframeworks which embedded watermarks in the larger coefficients of inner coarser subbands, the proposedtechnique is based on utilizing a context model and fuzzy inference filter by embedding watermarks in thelarger-entropy coefficients of coarser DWT subbands. The proposed approaches allow us to embed adaptivecasting degree of watermarks for transparency and robustness to the general image-processing attacks such assmoothing, sharpening, and JPEG compression. The approach has no need the original host image to extractwatermarks. Our schemes have been shown to provide very good results in both image transparency androbustness