Content-based watermarking in image authentication allowing remedying of tampered images

被引:12
作者
Yeh, F. H. [1 ]
Lee, G. C. [1 ]
机构
[1] Natl Taiwan Normal Univ, Dept Informat & Comp Educ, Taipei, Taiwan
关键词
image processing; image transmission; image reconstruction;
D O I
10.1117/1.2227367
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Fragile watermarking techniques are developed to ensure the credibility and integrity of images in open communication channels. Many related studies have proposed methods for accurately localizing tampered areas, but the ability to recover such areas has received less attention. Therefore, we propose a content-based fragile watermarking technique that can both accurately localize tampered areas and correct them in details, using embedded content-based watermarks. Our scheme provides a novel watermark structure. It adopts JPEG-compressed watermark prototypes and categorizes them into smooth, mid-textured, and textured areas. To resist forged-watermark attacks and promote self-recovery ability, the relationships among blocks are created by a toral automorphism with an asymmetric key structure. Furthermore, the watermark prototypes are disordered by a one-way hashing function and encrypted by a public-key encryption function to increase the security of watermarks. Finally, the watermarks are embedded to protect the integrity of images. Experiments show that the proposed scheme can correctly localize tampered areas and remedy them to the extent of JPEG-compression quality even when 50% of the image is cropped, and resist forged-watermark attacks. (c) 2006 Society of Photo-Optical Instrumentation Engineers.
引用
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页数:10
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[31]   Combining flash memory and FPGAs to efficiently implement a massively parallel algorithm for content-based image retrieval [J].
Chikhi, Rayan ;
Derrien, Steven ;
Noumsi, Auguste ;
Quinton, Patrice .
INTERNATIONAL JOURNAL OF ELECTRONICS, 2008, 95 (07) :621-635
[32]   Content-Based Image Retrieval: A Survey on Local and Global Features Selection, Extraction, Representation, and Evaluation Parameters [J].
Srivastava, Divya ;
Singh, Shashank Sheshar ;
Rajitha, B. ;
Verma, Madhushi ;
Kaur, Manjit ;
Lee, Heung-No .
IEEE ACCESS, 2023, 11 :95410-95431
[33]   M-CBIR: A medical content-based image retrieval system using metric data-structures [J].
Chuctaya, Herbert ;
Portugal, Christian ;
Beltran, Cesar ;
Gutierrez, Juan ;
Lopez, Cristian ;
Tupac, Yvan .
2011 30TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC), 2012, :135-141
[34]   Automatic content-based analysis of georeferenced image data:: Detection of Beggiatoa mats in seafloor video mosaics from the Halkon Mosby Mud Volcano [J].
Jerosch, K. ;
Luedtke, A. ;
Schlueter, M. ;
Ioannidis, G. T. .
COMPUTERS & GEOSCIENCES, 2007, 33 (02) :202-218