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

Yewen Li, Wei Song, Xiaobing Zhao, Juan Wang and Lizhi Zhao
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Yewen Li: School of Information Engineering, Minzu University of China, Beijing 100081, China
Wei Song: School of Information Engineering, Minzu University of China, Beijing 100081, China
Xiaobing Zhao: School of Information Engineering, Minzu University of China, Beijing 100081, China
Juan Wang: School of Information Engineering, Minzu University of China, Beijing 100081, China
Lizhi Zhao: School of Information Engineering, Minzu University of China, Beijing 100081, China

Mathematics, 2019, vol. 7, issue 10, 1-17

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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