Automatic image authentication and recovery using multiple watermarks. Hung, K., Chen, T., Su, W., & Kao, C. In Information Science and Digital Content Technology (ICIDT), 2012 8th International Conference on, volume 3, pages 730 -735, june, 2012.
abstract   bibtex   
We propose a novel scheme of Automatic image authentication and recovery, in which the altered region of the image can be detected and recovered in a fully automated fashion. We use a fragile digital watermarking technique based on eigenvalues and eigenvectors of a real symmetric matrix generated by the four pixel-pair. The signature bits for detecting malicious tampering of an image are generated using the dominant eigenvector. To achieve high-quality image recovery, we finally insert the binary halftone image converted from the original image into the watermarked image to obtain the protected watermarked image. By watermark extraction, we can determine whether the watermarked image has been tampered or not. If the watermarked image has been tampered, we can automatically localize the altered region, and achieve image recovery. Finally, experimental results are given to show the effectiveness of the proposed scheme.
@inproceedings{6269371,
	Author = {Kuo-Ming Hung and Ting-Wen Chen and Wen-Kai Su and Chia-Nan Kao},
	Booktitle = {Information Science and Digital Content Technology (ICIDT), 2012 8th International Conference on},
	Date-Added = {2012-10-22 15:14:10 +0000},
	Date-Modified = {2012-10-22 15:14:10 +0000},
	Month = {june},
	Pages = {730 -735},
	Title = {Automatic image authentication and recovery using multiple watermarks},
	Volume = {3},
	Year = {2012},
	Abstract = {We propose a novel scheme of Automatic image authentication and recovery, in which the altered region of the image can be detected and recovered in a fully automated fashion. We use a fragile digital watermarking technique based on eigenvalues and eigenvectors of a real symmetric matrix generated by the four pixel-pair. The signature bits for detecting malicious tampering of an image are generated using the dominant eigenvector. To achieve high-quality image recovery, we finally insert the binary halftone image converted from the original image into the watermarked image to obtain the protected watermarked image. By watermark extraction, we can determine whether the watermarked image has been tampered or not. If the watermarked image has been tampered, we can automatically localize the altered region, and achieve image recovery. Finally, experimental results are given to show the effectiveness of the proposed scheme.}}

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