Image watermarking based on fuzzy inference filter

In this paper, an efficiently DRY-based watermarking technique Is proposed to embed signatures In Images to attest the owner Identification and discourage the unauthorized copying. This paper deals with a fuzzy inference filler to choose the larger entropy of coefficients to embed watermarks. Unlike most previous watermarking frameworks which embedded watermarks In the larger coefficients of Inner coarser subbands, the proposed technique Is based on utilizing a context modal and fuzzy inference filter by embedding watermarks in the larger-entropy coefficients of coarser DWT subbands. Our schemes have been shown to provide very good results in both Image transparency and robustness.