Robust, Secure and High Capacity Watermarking Technique based on Image Partitioning-Merging Scheme

This paper presents secure and high capacity\udwatermarking technique using novel approach of Image\udPartitioning-Merging Scheme (IPMS). The IPMS is used\udas reduction method to reduce the size of watermark\udlogically and increases security levels of proposed\udwatermarking technique. The technique effectively uses\udspecial properties of Discrete Wavelet Transform (DWT),\udFast Walse Hadamrd Transform (FWHT), Singular Value\udDecomposition (SVD) and proved strongly robust to 14\udnoise addition and filtering attacks. Fibonacci Lucas\udTransform (FLT) is used as effective scrambling\udtechnique to scramble the watermark to provide\udadditional security in embedding process. Many\udresearchers failed to achieve imperceptibility and\udrobustness under high watermark embedding scenario\udwith strong security provision as these quality parameters\udconflict each other. The novel technique presented here\udarchives imperceptibility, high capacity watermark\udembedding, security and robustness against 14 noise\udaddition and filtering attacks. The technique is non-blind\udand tested with grey scale cover images of size 512x512\udand watermark images of size 512x512. The\udexperimental results demonstrate that Lena image gives\ud75.8446dBs imperceptibility which is measured in terms\udof Peak signal to noise ratio. The robustness is measured\udin terms of normalized correlation (NC) equals to 1\udshowing exact recovery of watermark. The method is\udfound strongly robust against noise addition and filtering\udattacks with compared to existing watermarking methods\udunder consideration