基于图像特征聚类的自嵌入水印算法

Self-embedded Watermarking Based on Characteristic Clustering of Image

提出一种新的基于图像特征聚类的自嵌入水印算法(CCSW),用于图像内容的认证和恢复.通过将表征图像特征的DCT变换的直流系数和低频系数按块聚类,把块聚类号引入块索引后的码字作为水印信息分别嵌入到本块及其后继块的中频系数中,用于图像内容的篡改检测和恢复.实验结果证明了该算法不但能容忍图像的常规处理操作,而且对包括拼接、替换等在内的蓄意伪造、篡改能进行有效定位和恢复.

In this paper, we present a novel self-embedded watermarking algorithm based on characteristic clustering （CCSW） for image tamper detection and recovery. The algorithm firstly clusters DCT direct coefficients and low frequency coefficients which represent the characteristics of image blocks, and then embeds the encrypted sequence of clustering by introducing block index as watermarks into both middle frequency domain of current image block and its successor block for tamper detection and recovery. The experimental results show that CCSW can not only tolerate certain distortion caused by normal image manipulations, but also can locate and recover malicious tampered region well.