A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System
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 sys...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/7/10/955 |
| _version_ | 1811261711635709952 |
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| author | Yewen Li Wei Song Xiaobing Zhao Juan Wang Lizhi Zhao |
| author_facet | Yewen Li Wei Song Xiaobing Zhao Juan Wang Lizhi Zhao |
| author_sort | Yewen Li |
| collection | DOAJ |
| description | 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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>3</mn> <mo>×</mo> <mn>3</mn> </mrow> </semantics> </math> </inline-formula> 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. |
| first_indexed | 2024-04-12T19:10:37Z |
| format | Article |
| id | doaj.art-dcd758aa1594415288851ac4829589c1 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-04-12T19:10:37Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-dcd758aa1594415288851ac4829589c12022-12-22T03:19:54ZengMDPI AGMathematics2227-73902019-10-0171095510.3390/math7100955math7100955A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic SystemYewen Li0Wei Song1Xiaobing Zhao2Juan Wang3Lizhi Zhao4School of Information Engineering, Minzu University of China, Beijing 100081, ChinaSchool of Information Engineering, Minzu University of China, Beijing 100081, ChinaSchool of Information Engineering, Minzu University of China, Beijing 100081, ChinaSchool of Information Engineering, Minzu University of China, Beijing 100081, ChinaSchool of Information Engineering, Minzu University of China, Beijing 100081, ChinaWith 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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>3</mn> <mo>×</mo> <mn>3</mn> </mrow> </semantics> </math> </inline-formula> 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.https://www.mdpi.com/2227-7390/7/10/955image authenticationimage recoverysmooth functionchaotic systemhierarchical tamper detection |
| spellingShingle | Yewen Li Wei Song Xiaobing Zhao Juan Wang Lizhi Zhao A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System Mathematics image authentication image recovery smooth function chaotic system hierarchical tamper detection |
| title | A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System |
| title_full | A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System |
| title_fullStr | A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System |
| title_full_unstemmed | A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System |
| title_short | A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System |
| title_sort | novel image tamper detection and self recovery algorithm based on watermarking and chaotic system |
| topic | image authentication image recovery smooth function chaotic system hierarchical tamper detection |
| url | https://www.mdpi.com/2227-7390/7/10/955 |
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