CAJ | 학술논문

为了提高秘密信息的安全性和鲁棒性，将混沌、提升小波变换（LWT）和奇异值分解（SVD）结合，提出一种盲信息隐藏算法。首先将要隐藏的秘密图像用混沌序列进行加密；然后对载体图像进行提升小波变换，并对低频子带进行分块奇异值分解；最后根据最大奇异值最高位的奇偶性将已加密的秘密图像进行隐藏。提取秘密图像时，不需要载体图像。仿真实验表明，该算法隐蔽性好，对加噪、滤波、旋转、剪切、缩放和 JPEG 压缩等攻击具有良好的鲁棒性。
위료제고비밀신식적안전성화로봉성，장혼돈、제승소파변환（LWT）화기이치분해（SVD）결합，제출일충맹신식은장산법。수선장요은장적비밀도상용혼돈서렬진행가밀；연후대재체도상진행제승소파변환，병대저빈자대진행분괴기이치분해；최후근거최대기이치최고위적기우성장이가밀적비밀도상진행은장。제취비밀도상시，불수요재체도상。방진실험표명，해산법은폐성호，대가조、려파、선전、전절、축방화 JPEG 압축등공격구유량호적로봉성。
To improve the security and robustness of secret information ,this paper proposed a novel robust blind information Hiding Algorithm for images based on chaos ,lifting wavelet transform (LWT ) and sin-gular value decomposition(SVD) .Firstly ,the original secret information is encrypted by chaos before em-bedded .Secondly ,the carrier image is decomposed through lifting wavelet transform ,and partitioned the obtained low frequency subband into blocks and then applied SVD to the blocks .Finally ,encryption infor-mation is embedded by judging the parity of the most significant digit of the biggest singular value in every block .It does not need original carrier image when the secret information is extracted .Experimental re-sults show that the algorithm has good concealment and robustness to noise addition ,filtering ,rotation , cropping ,scaling and JPEG compressing .