Review on Self-embedding Fragile Watermarking for Image Authentication and Self-recovery
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
As the major source of information, digital images play an indispensable role in our lives. However, with thedevelopment of image processing techniques, people can optionally retouch or even forge an image by usingimage processing software. Therefore, the authenticity and integrity of digital images are facing severechallenge. To resolve this issue, the fragile watermarking schemes for image authentication have beenproposed. According to different purposes, the fragile watermarking can be divided into two categories:fragile watermarking for tamper localization and fragile watermarking with recovery ability. The fragilewatermarking for image tamper localization can only identify and locate the tampered regions, but it cannotfurther restore the modified regions. In some cases, image recovery for tampered regions is very essential. Generally, the fragile watermarking for image authentication and recovery includes three procedures:watermark generation and embedding, tamper localization, and image self-recovery. In this article, we make areview on self-embedding fragile watermarking methods. The basic model and the evaluation indexes of thiswatermarking scheme are presented in this paper. Some related works proposed in recent years and theiradvantages and disadvantages are described in detail to help the future research in this field. Based on theanalysis, we give the future research prospects and suggestions in the end.
Abstract
As the major source of information, digital images play an indispensable role in our lives. However, with thedevelopment of image processing techniques, people can optionally retouch or even forge an image by usingimage processing software. Therefore, the authenticity and integrity of digital images are facing severechallenge. To resolve this issue, the fragile watermarking schemes for image authentication have beenproposed. According to different purposes, the fragile watermarking can be divided into two categories:fragile watermarking for tamper localization and fragile watermarking with recovery ability. The fragilewatermarking for image tamper localization can only identify and locate the tampered regions, but it cannotfurther restore the modified regions. In some cases, image recovery for tampered regions is very essential. Generally, the fragile watermarking for image authentication and recovery includes three procedures:watermark generation and embedding, tamper localization, and image self-recovery. In this article, we make areview on self-embedding fragile watermarking methods. The basic model and the evaluation indexes of thiswatermarking scheme are presented in this paper. Some related works proposed in recent years and theiradvantages and disadvantages are described in detail to help the future research in this field. Based on theanalysis, we give the future research prospects and suggestions in the end.
참고문헌 (30)
- D. C. Lou, "Fault resilient and compression tolerant digital signature for image authentication", IEEE Transactions on Consumer Electronics, 46(1), pp.31~39 (2000)[DOI]
- C. S. Lu, "Structural digital signature for image authentication: an incidental distortion resistant scheme", IEEE Transactions on Multimedia, 5(2), pp.161~173 (2003)[DOI]
- H. Nyeem, "Digital image watermarking: its formal model, fundamental properties and possible attacks", EURASIP Journal on Advances in Signal Processing, 2014(1), pp.1~22 (2014)[DOI]
- Souad Bekkouch, "Robust and Reversible Image Watermarking Scheme Using Combined DCT-DWT-SVD Transforms", JIPS(Journal of Information Processing Systems), 11(3), pp.406~420 (2015), 한국정보처리학회[DOI]
- K. Sreenivas, "Fragile watermarking schemes for image authentication: a survey", International Journal of Machine Learning and Cybernetics, 8, pp.1~26 (2017)[DOI]
- J. Fridrich, "Cryptanalysis of the Yeung-Mintzer fragile watermarking technique", Journal of Electronic Imaging, 11(2), pp.262~274 (2002)[DOI]
- C. C. Chang, "Four-scanning attack on hierarchical digital watermarking method for image tamper detection and recovery", Pattern Recognition, 41(2), pp.654~661 (2008)[DOI]
- M. Holliman, "Counterfeiting attacks on oblivious block-wise independent invisible watermarking schemes", IEEE Transactions on Image Processing, 9(3), pp.432~441 (2000)[DOI]
- Heng Zhang, "Fragile Watermarking Based on LBP for Blind Tamper Detection in Images", JIPS(Journal of Information Processing Systems), 13(2), pp.385~399 (2017), 한국정보처리학회[DOI]
- Z. Wang, "Image quality assessment: from error visibility to structural similarity", IEEE Transactions on Image Processing, 13(4), pp.600~612 (2004)[DOI]
- H. Zhang, "Fragile watermarking for image authentication using the characteristic of SVD", Algorithms, 10(1) (2017)
- O. Benrhouma, "Tamper detection and self-recovery scheme by DWT watermarking", Nonlinear Dynamics, 79(3), pp.1817~1833 (2015)[DOI]
- J. Fridrich, "Images with self-correcting capabilities", Proceedings of the International Conference on Image Processing, pp.792~796 (1999)
- P. L. Lin, "A hierarchical digital watermarking method for image tamper detection and recovery", Pattern Recognition, 38(12), pp.2519~2529 (2005)[DOI]
- Y. F. Chang, "A block-based watermarking scheme for image tamper detection and self-recovery", Opto-Electronics Review, 21(2), pp.182~190 (2013)
- X. J. Tong, "A novel chaos-based fragile watermarking for image tampering detection and self-recovery", Signal Processing: Image Communication, 28(3), pp.301~308 (2013)[DOI]
- F. Chen, "Chaos-based self-embedding fragile watermarking with flexible watermark payload", Multimedia Tools and Applications, 72(1), pp.41~56 (2014)[DOI]
- D. Singh, "Effective self-embedding watermarking scheme for image tampered detection and localization with recovery capability", Journal of Visual Communication and Image Representation, 38, pp.775~789 (2016)[DOI]
- S. Dadkhah, "An effective SVD-based image tampering detection and self-recovery using active watermarking", Signal Processing: Image Communication, 29(10), pp.1197~1210 (2014)[DOI]
- X. P. Zhang, "Reference sharing mechanism for watermark selfembedding", IEEE Transactions on Image Processing, 20(2), pp.485~495 (2011)[DOI]
- T. Y. Lee, "Dual watermark for image tamper detection and recovery", Pattern Recognition, 41(11), pp.3497~3506 (2008)[DOI]
- S. Som, "A DWT-based digital watermarking scheme for image tamper detection, localization, and restoration", Applied Computation and Security Systems, pp.17~37 (2015)
- F. Cao, "Hierarchical recovery for tampered images based on watermark self-embedding", Displays, 46, pp.52~60 (2017)[DOI]
- C. Qin, "Fragile image watermarking with pixel-wise recovery based on overlapping embedding strategy", Signal Processing, 138, pp.280~293 (2017)[DOI]
- Z. X. Qian, "Image self-embedding with high-quality restoration capability", Digital Signal Processing, 21(2), pp.278~286 (2011)[DOI]
- Y. R. Huo, "Alterable-capacity fragile watermarking scheme with restoration capability", Optics Communications, 285(7), pp.1759~1766 (2012)[DOI]
- C. Qin, "Self-embedding fragile watermarking based on reference-data interleaving and adaptive selection of embedding mode", Information Sciences, 373, pp.233~250 (2016)[DOI]
- R. Eswaraiah, "A fragile ROI-based medical image watermarking technique with tamper detection and recovery", Proceedings of the 4th International Conference on Communication Systems and Network Technologies, pp.896~899 (2014)
- S. C. Liew, "Tamper localization and lossless recovery watermarking scheme with ROI segmentation and multilevel authentication", Journal of Digital Imaging, 26(2), pp.316~325 (2013)[DOI]
- C. L. Li, "Tamper detection and self-recovery of biometric images using salient region-based authentication watermarking scheme", Computer Standards and Interfaces, 34(4), pp.367~379 (2012)[DOI]