CAJ | 학술논문

针对数字图书馆的音频资源版权保护问题，提出一种基于奇异值分解及独立成分分析的数字音频水印算法。奇异值分解具有数据压缩的特性，将水印信息经过奇异值分解处理，可大大提升水印容量，而独立成分分析理论可实现水印的盲提取。选择小波变换后的低频系数作为水印嵌入点，以平衡水印的鲁棒性和透明性。采用二值图像作为水印进行仿真实验，实验结果显示该水印方案具有较好的鲁棒性、透明性。
침대수자도서관적음빈자원판권보호문제，제출일충기우기이치분해급독립성분분석적수자음빈수인산법。기이치분해구유수거압축적특성，장수인신식경과기이치분해처리，가대대제승수인용량，이독립성분분석이론가실현수인적맹제취。선택소파변환후적저빈계수작위수인감입점，이평형수인적로봉성화투명성。채용이치도상작위수인진행방진실험，실험결과현시해수인방안구유교호적로봉성、투명성。
This paper proposed a digital audio watermarking scheme based on Singular Value Decomposition(SVD) and Independent Component Analysis (ICA),in order to solve the copyright protection issues in digital library. The watermark information processed by the SVD which has the data compressed feature enhances the watermark capacity. ICA used for watermark extraction and achieve the blind extraction. Select the low frequency coefficients after Discrete Wavelet Transform(DWT) as an embedded point, in order to balance the transparency and robustness of the audio. The experiment results show that the proposed scheme has good robustness against common at acks, as wel as transparency.