The purpose of this paper is to improve the robustness of traditional image watermarking based on singular value\ndecomposition (SVD) by using optimization-based quantization on multiple singular values in the wavelet domain.\nIn this work, we divide the middle-frequency parts of discrete-time wavelet transform (DWT) into several square\nblocks and then use multiple singular value quantizations to embed a watermark bit. To minimize the difference\nbetween original and watermarked singular values, an optimized-quality formula is proposed. First, the peak\nsignal-to-noise ratio (PSNR) is defined as a performance index in a matrix form. Then, an optimized-quality\nfunctional that relates the performance index to the quantization technique is obtained. Finally, the Lagrange\nPrinciple is utilized to obtain the optimized-quality formula and then the formula is applied to watermarking.\nExperimental results show that the watermarked image can keep a high PSNR and achieve better bit-error rate\n(BER) even when the number of coefficients for embedding a watermark bit increases.
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