Recovery of Watermark Using Differential Affine Motion Estimation
Du, Jiang, Woo, Chaw-Seng, & Pham, Binh L. (2005) Recovery of Watermark Using Differential Affine Motion Estimation. In Third Australasian Information Security Workshop (AISW 2005), 2005, Newcastle, Australia.
Digital watermarking techniques have been proposed to protect the copyright of multimedia data. Robustness against geometric distortion is one of the most important issues to be solved to increase the robustness of digital image watermarking systems. Such attacks are very simple to implement, so they can defeat most existing watermarking algorithms without causing serious perceptual image distortion. In this paper, a method for the recovery of watermarks based on differential affine motion estimation is presented. This method models the geometric distortion between images as locally affine but globally smooth. This approach is built upon a differential multiscale framework, allowing us to capture both large-scale and small-scale transformations. Experimental results show that the described method can estimate the distortion quite accurately and allow correct watermark detection.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||watermark recovery, differential affine motion estimation, robust watermark|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2005 Australian Computer Society|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher.|
|Deposited On:||05 Oct 2005|
|Last Modified:||29 Feb 2012 23:12|
Repository Staff Only: item control page