Singular Vector Quantization Watermarking Scheme Based on DWT-SVD
基于DWT-SVD的奇异向量量化水印算法

A novel watermarking scheme was proposed for image authentication by applying a simple ctuantization process on wavclet domain singular value decomposition. Unlike the traditional wavelet based watermarking schemes where the watermark bits were embedded directly on the wavelet coefficients, the singular vectors of the blocks within wavelet low frectuency sub-band of the original image were explored for embedding the watermark. Watermark detection is efficient and blind in only the key and threshold but not the original image. Experimental results show that the quality of the watermarked image is good and is ctuite effective against general image processing and extremely robust against JPEG compression.