摘要
针对网络传输中数字产品的安全保护问题,根据离散小波变换(DWT)多分辨率性质,结合混沌序列和人类视觉(HVS)特征,提出了一种基于图像内容的半脆弱水印算法,并给出了一个篡改判别方案,从而实现了对篡改图像的定位和分类.实验结果证明,该算法能够抵抗70％以上的JPEG有损压缩,具有准确识别篡改区域的能力.
Because digital products ought to be protected in the network transmission, according to the multi - resolution advantages of discrete wavelet transform(DWT), this paper combines the features of the chaotic sequences and human visual system(HVS), and a semi -fragile watermarking scheme based on image content is proposed. Furthermore, a rule of tamper detection is generated to detect tampered images. The experimental results demonstrate the algorithm can reject at least 70% JPEG lossy compression and accurately detect and locate where the watermarked images has been tampered.
出处
《哈尔滨理工大学学报》
CAS
2004年第6期27-30,33,共5页
Journal of Harbin University of Science and Technology
基金
黑龙江省自然科学基金资助(F01-22)
关键词
半脆弱水印
DWT
混沌序列
HVS
篡改检测
semi - fragile watermark
DWT
chaotic sequences
HVS
tamper detection
