A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System
文献类型：期刊论文
| 作者 | Li, Yewen1,2,3; Song, Wei2,3; Zhao, Xiaobing2,3; Wang, Juan2; Zhao, Lizhi2 |
| 刊名 | MATHEMATICS
 |
| 出版日期 | 2019-10-01 |
| 卷号 | 7期号:10页码:17 |
| 关键词 | image authentication image recovery smooth function chaotic system hierarchical tamper detection |
| DOI | 10.3390/math7100955 |
| 英文摘要 | With the development of image editing software techniques, the content integrity and authenticity of original digital images become more and more important in digital content security. A novel image tampering detection and recovery algorithm based on digital watermarking technology and a chaotic system is proposed, and it can effectively locate the tampering region and achieve the approximate recovery of the original image by using the hidden information. The pseudo-random cyclic chain is realized by the chaotic system to construct the mapping relationship between the image subblocks. It can effectively guarantee the randomness of the positional relationship between the hidden information and the original image block for the better ergodicity of the pseudo-random chain. The recovery value optimization algorithm can represent image information better. In addition to the traditional Level-1 recovery, a weight adaptive algorithm is designed to distinguish the original block from the primary recovery block, allowing 3 x 3 neighbor block recovery to achieve better results. The experimental results show that the hierarchical tamper detection algorithm makes tamper detection have higher precision. When facing collage attacks and large general tampering, it will have higher recovery image quality and better resistance performance. |
| 资助项目 | National Science Foundation Project of P. R. China[61701554] ; National Science Foundation Project of P. R. China under State Language Commission Key Project[ZDl135-39] ; Promotion plan for young teachers' scientific research ability of Minzu University of China ; MUC 111 Project ; First-class University of Minzu University of China (intelligent computing and network security) ; First class Discipline of Minzu University of China (intelligent computing and network security) ; youth team leadership program |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000498404700084 |
| 出版者 | MDPI |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/14926]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Song, Wei |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing 100081, Peoples R China 2.Minzu Univ China, Sch Informat Engn, Beijing 100081, Peoples R China 3.Minzu Univ China, Natl Language Resource Monitoring & Res Ctr Minor, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yewen,Song, Wei,Zhao, Xiaobing,et al. A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System[J]. MATHEMATICS,2019,7(10):17. |
| APA | Li, Yewen,Song, Wei,Zhao, Xiaobing,Wang, Juan,&Zhao, Lizhi.(2019).A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System.MATHEMATICS,7(10),17. |
| MLA | Li, Yewen,et al."A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System".MATHEMATICS 7.10(2019):17. |
入库方式： OAI收割
来源：计算技术研究所
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