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Mini-Symposium-in-Print: Steganography
Volume: 49 | Article ID: art00004
Removal of Watermarks from Spectral Images Through Principal Component Analysis
DOI : 10.2352/J.ImagingSci.Technol.2005.49.5.art00004 Published Online : September 2005
Abstract
This article presents a method to remove watermarks from watermarked spectral images. The watermarks were added through the Principal Component Analysis (PCA). The removal is also performed using the PCA transform. Experimental results indicate that the removal of the watermark can be performed successfully.
Journal Title : Journal of Imaging Science and Technology
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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Cite this article
Jarno Mielikainen, Pekka Toivanen, "Removal of Watermarks from Spectral Images Through Principal Component Analysis" in Journal of Imaging Science and Technology, 2005, pp 474 - 480, https://doi.org/10.2352/J.ImagingSci.Technol.2005.49.5.art00004
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Copyright © Society for Imaging Science and Technology 2005