Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform

CC
CRV
2004
1st Canadian Conference on Computer and Robot Vision (CRV'04)
Abstract - Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform

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1st Canadian Conference on Computer and Robot Vision (CRV'04)

University of Western Ontario, London, Ontario, Canada

May 17-May 19

ISBN: 0-7695-2127-4

	ASCII Text	x
	Yan Liu, Jiying Zhao, "Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform," Computer and Robot Vision, Canadian Conference, pp. 225-232, 1st Canadian Conference on Computer and Robot Vision (CRV'04), 2004.

	BibTex	x
	@article{ 10.1109/CCCRV.2004.1301448, author = {Yan Liu and Jiying Zhao}, title = {Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform}, journal ={Computer and Robot Vision, Canadian Conference}, volume = {0}, year = {2004}, isbn = {0-7695-2127-4}, pages = {225-232}, doi = {http://doi.ieeecomputersociety.org/10.1109/CCCRV.2004.1301448}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Robot Vision, Canadian Conference TI - Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform SN - 0-7695-2127-4 SP225 EP232 A1 - Yan Liu, A1 - Jiying Zhao, PY - 2004 KW - digital image watermarking LPM Radon transform RST invariant VL - 0 JA - Computer and Robot Vision, Canadian Conference ER -

Yan Liu, University of Ottawa

Jiying Zhao, University of Ottawa

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCCRV.2004.1301448

Many image watermarking schemes against geometric attacks have been proposed. Rotation, scaling, translation (RST) invariant image watermarking based on log-polar mapping (LPM) and Radon transform is one of them. In this paper, we analyze the embedding and detection process of the above-mentioned method. We focus on how to select the watermark data, how to embed the watermark into the original image, and how to implement approximative inverse log-polar mapping (ILPM) during the embedding process. We analyze watermark detection when a watermarked image is scaled or rotated, and propose to use the rotation rectification to battle rotation. Three detection methods are compared.

Index Terms:

digital image watermarking LPM Radon transform RST invariant

Citation:

Yan Liu, Jiying Zhao, "Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform," crv, pp.225-232, 1st Canadian Conference on Computer and Robot Vision (CRV'04), 2004

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