CAJ | 학술논문

本文提出了一种新的基于离散小波变换（DWT）与奇异值分解（SVD）相结合的数字图像盲水印算法。该算法首先将原始图像作小波分解并将小波分解得到的低频子带进行分块，再对每一块进行奇异值分解，然后选取每块中最大的奇异值通过量化的方法嵌入水印信息，而且水印的提取不需要原始图像。实验结果表明，该算法具有一定的不可感知性及鲁棒性。
본문제출료일충신적기우리산소파변환（DWT）여기이치분해（SVD）상결합적수자도상맹수인산법。해산법수선장원시도상작소파분해병장소파분해득도적저빈자대진행분괴，재대매일괴진행기이치분해，연후선취매괴중최대적기이치통과양화적방법감입수인신식，이차수인적제취불수요원시도상。실험결과표명，해산법구유일정적불가감지성급로봉성。
This paper presents a new digital image blind watermarking algorithm based on combination of discrete wavelet transform (DWT) and singular value decomposition (SVD) .First of all ,we make wavelet decomposition for the original image and divide the acquired low frequency sub-band into blocks .Then we make singular value decomposition for each block and embed the watermark information in the largest singular value by quantitative method .The watermark can be extracted without the original image .The experimental results show that the algorithm has a good imperceptibility and robustness .