open access

https://hdl.handle.net/2115/39763

Zernike Moments and Edge Features Based Semi-Fragile Watermark for Image Authentication with Tampering Localization

英語

2009-10-04

Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee

Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference

555-562

APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Information Forensics and Security (6 October 2009).

This paper present a novel content-based image authentication framework which embeds the semi-fragile image feature into the host image based on wavelet transform. In this framework, two features of a target image from the low frequency domain to generate two watermarks: Zernike moments for classifying of the intentional content modification and Sobel edge features for indicating the modified location. In particular, we design a systematic method for automatic order selection of Zernike moments and in order to tell if the processing on the image is malicious or not. We also propose a weighted Euclidean distance by a reconstruction process. An important advantage of our approach is that it can tolerate compression and noise to a certain extent while rejecting common attack of the image like rotation. Experimental results show that the framework can locate the malicious tampering for the resolution of a 8x8 block. Also, it is robust to content preserved processing, such as JPEG compression Q≧30 and Gaussian noise variance ≦20.

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