A Binary Digital Watermarking Scheme Based On The Orthogonal Vector And ICA-SCS Denoising
This paper proposed a new perceptual digital watermarking scheme based on ICA, SCS, the human visual system (HVS), discrete wavelet transform (DWT) and the orthogonal vector. The original gray image first is divided into 8×8 blocks, and then permuted. A 1-level DWT is applied to each 8×8 block. Each watermark bit is modulated by orthogonal vector, then the watermark is add to the original image. Finally the IDWT is performed to form the watermarked image. In the watermarking detection process the independent component analysis (ICA)-based sparse code shrinkage (SCS) technique is employed to denoise, and make using of the orthogonal vector character. By hypothetical testing, the watermark can be extracted exactly. The experimental results show that the proposed technique successfully survives image processing operations, image cropping, noise adding and the JPEG lossy compression. Especially, the scheme is robust towards image sharping and image enhancement.
KeywordsIndependent Component Analysis Discrete Wavelet Transform Human Visual System Independent Component Analysis Watermark Scheme
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