Improved Sugeno FIS-2Level DWT Digital Image Watermarking Technique

摘要

In this paper, Sugeno Fuzzy inference system (FIS) has adopted depending on 2level DWT in order to ensure finding the best locations to embed the watermark data in the host image in the frequency domain of DWT and hence to increase the robustness of the proposed technique. First of all, apply DWT on the host image twice, then decompose the LH2 band into 2x2 blocks to assure the superior hiding of the bits of the watermark in a chosen places. On the other hand, FIS is performed to obtain a parameter that controls the embedding robustness. The algorithm leads to achieving robustness and imperceptibility criterion. The results for PSNR and NC with and without attacks are better for the proposed algorithm. Experimental results show the efficiency of the proposed technique. The experimental results show that the proposed technique has perfect robustness against image processing attacks.