A Novel Semi-Blind Watermark Extraction Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
in this paper, a novel algorithm for semi-blind watermark extraction is proposed. Though watermark embedding is done using a non-blind watermarking scheme, the detection method proposed extracts the watermark without the use of host image, i.e., semi-blind detection is done. A novel robust watermarking scheme using discrete wavelet transform (DWT) and singular value decomposition (SVD) for watermark embedding is also proposed. The levels of decomposition, the band in which SVD is performed and the color component used to embed the watermark, are all studied. Also, the effect of attacks on the robustness of the algorithm used is analyzed. Some of the attacks used are compression, resizing, cropping, histogram equalization, rotation, low pass filtering, high pass filtering, median filtering and various noise attacks such as Gaussian noise, salt and pepper noise and Poisson noise. The parameters used for the study are peak signal-to-noise ratio (PSNR) and correlation.
Authors and Affiliations
Manoj Kumar. V. R. , C. Arun, S. Muthumanickam
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