CAJ | 학술논문

基于对音频特征的分析,提出了一种多小波域的水印算法.结合人类听觉系统的时频掩蔽特性,该算法分析音频帧的过零率及时域能量,确定用于嵌入水印的帧.利用音频的分抽样特征和多小波变换在信号处理中的优势,将每一个音频帧进行分抽样为两个子音频帧并分别将其变换到多小波域.利用两个子音频帧在多小波域的能量来估计所嵌入水印的容量,并根据它们的能量大小关系完成水印的嵌入.水印的提取过程转为一个使用支持向量机进行处理的二分类问题.实验结果验证了所提出的水印算法能根椐音频自身的特点寻找到适合用于嵌入水印的音频帧,且能动态调整水印的嵌入强度,在保证听觉质量的同时提高了水印的鲁棒性.
기우대음빈특정적분석,제출료일충다소파역적수인산법.결합인류은각계통적시빈엄폐특성,해산법분석음빈정적과령솔급시역능량,학정용우감입수인적정.이용음빈적분추양특정화다소파변환재신호처리중적우세,장매일개음빈정진행분추양위량개자음빈정병분별장기변환도다소파역.이용량개자음빈정재다소파역적능량래고계소감입수인적용량,병근거타문적능량대소관계완성수인적감입.수인적제취과정전위일개사용지지향량궤진행처리적이분류문제.실험결과험증료소제출적수인산법능근거음빈자신적특점심조도괄합용우감입수인적음빈정,차능동태조정수인적감입강도,재보증은각질량적동시제고료수인적로봉성.
Based on the analysis of the audio features, a new audio watermarking algorithm using the discrete multiwavelet transform is proposed. Combined with time-frequency masking property of the human auditory system, the proposed algorithm analyses the zero-cross ratio and the short-time energy of each audio frame to choose the audio frames to embed the watermark. Using the features of sub-sampling and the advantages of multiwavelet in signal processing, each frame to embed the watermark is sub-sampled into two sub-audio frames, and these sub-audio frames are decomposed into multiwavelet domain respectively. According to the energies of two sub-audio frames in multiwavelet domain, the capacity of embedded watermark in audio signal is estimated, and then watermark embedding is accomplished based on the energy relationship between two sub-audio frames. The retrieval of embedded watermark can be considered as a classification problem with two-class that can be solved by support vector machines. The experimental results show that the proposed algorithm can find the suitable audio frames to embed watermark according to the features of the audio signal and can also adjust the embedding strength dynamically improving the robustness of watermarking system without losing auditory quality.