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A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System

1
School of Information Engineering, Minzu University of China, Beijing 100081, China
2
National Language Resource Monitoring and Research Center of Minority Languages, Minzu University of China, Beijing 100081, China
3
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Mathematics 2019, 7(10), 955; https://doi.org/10.3390/math7100955
Received: 3 September 2019 / Revised: 6 October 2019 / Accepted: 7 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue Computing Methods in Steganography and Multimedia Security)
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 × 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.
Keywords: image authentication; image recovery; smooth function; chaotic system; hierarchical tamper detection image authentication; image recovery; smooth function; chaotic system; hierarchical tamper detection
MDPI and ACS Style

Li, Y.; Song, W.; Zhao, X.; Wang, J.; Zhao, L. A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System. Mathematics 2019, 7, 955.

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