首页 | 本学科首页   官方微博 | 高级检索  
     

基于纠错编码的图像篡改恢复方法的研究
引用本文:林军海,唐向宏,何涨桔.基于纠错编码的图像篡改恢复方法的研究[J].计算机工程与应用,2012,48(30):205-209.
作者姓名:林军海  唐向宏  何涨桔
作者单位:1. 杭州电子科技大学通信工程学院,杭州,310018
2. 杭州电子科技大学通信工程学院,杭州310018;杭州电子科技大学信息工程学院,杭州310018
摘    要:利用具有纠错功能的汉明码和置乱技术,提出了一种基于纠错编码技术与LSB结合的图像内容篡改恢复方法。提取图像的原始特征作为信息源码生成校验码,将生成的校验码经Arnold置乱后嵌入原始图像。当水印图像被篡改后,根据提取的校验码恢复图像的原始特征。实验结果表明,该算法对图像局部发生的篡改可以有效地检测并定位,并且具有较好的自恢复功能。

关 键 词:纠错编码  汉明码  Arnold置乱  最低有效位(LSB)  自恢复

Research of image tampering recovery based on correct-encode
LIN Junhai , TANG Xianghong , HE Zhangju.Research of image tampering recovery based on correct-encode[J].Computer Engineering and Applications,2012,48(30):205-209.
Authors:LIN Junhai  TANG Xianghong  HE Zhangju
Affiliation:1.School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China 2.School of Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
Abstract:Hamming code and Arnold shuffling techniques are used in this paper. A method of image content tampering recovery based on correct-encode combined with the LSB is proposed. The original feature of image is picked up to generate correct code, which is embedded into the original image after being changed with Arnold shuffling techniques. When the watermarking image is tampered, the original feature can be recovered by the correct-encode which is picked up from the image. Experimental results show that proposed algorithm can detect and local the tampered areas effectively, and it has a good self-recovery function.
Keywords:correct-encode  Hamming code  Arnold shuffling  Least Significant Bi(tLSB)  self-recovery
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号