摘要
根据分形码的高压缩性,提出一种基于迭代分形解码和边缘扩展的图像修复算法。在信息嵌入阶段,运用1-D变换算法、2次推操作和换操作获取索引表,对照索引表将分形码和奇偶校验码存入图像的最低2位有效位中。在图像修复阶段,对接收到的图像进行3层篡改检测,迭代地采用提取的有效分形码和边缘扩展算法对篡改图像进行修复。实验结果表明,该算法能够获得较好的图像修复效果。
Based on the high compressibility of the fractal code,an effective watermark scheme using the iterative fractal decoding and inpainting for image tamper detection and recovery is proposed.In watermark insertion section,it gets a look-up index table,and inserts the fractal code and the parity-check bits into the original image according to the look-up index table to obtain the watermarked image.By watermark extraction,it can automatically localize the altered region,and iteratively apply the fractal decoding and image inpainting for image recovery.Experimental results show the effectiveness of the proposed algorithm.
出处
《计算机工程》
CAS
CSCD
2012年第2期218-220,共3页
Computer Engineering
基金
国家自然科学基金资助项目(61073116
61003038)
安徽省高校自然科学研究基金资助重点项目(KJ2010A006)
关键词
分形图像编码
迭代解码
篡改检测
边缘扩展
图像修复
fractal image coding
iterative decoding
tampering detection
edge expansion
image inpainting
