DocumentCode
1570817
Title
Robust Signature-Based Geometric Invariant Copyright Protection
Author
Awrangjeb, Mohammad ; Murshed, Manzur
Author_Institution
Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, Vic., Australia
fYear
2006
Firstpage
1961
Lastpage
1964
Abstract
The most significant bit (MSB)-plane of an image is least likely to change by the most signal processing operations. Watermarking techniques are, however, unable to exploit the MSB-plane, as embedding any information there introduces the highest distortion. This paper presents a novel rotation, scale, and translation (RST)-resistant multi-bit logo-based copyright protection scheme using the most significant gray-scale bits at the region-of-interest, automatically selected by the invariant centroid (1C) of the image. How the RST-attack can be reversed using the 1C and geometric moments has been proposed. During verification, the test image is restored to its approximate original through reversing any possible RST attack before calculating signature. To avoid any bias, a new MSB-based attack has also been proposed. Experimental results have clearly demonstrated the superiority of the proposed scheme.
Keywords
data encapsulation; digital signatures; image coding; image restoration; telecommunication security; watermarking; MSB-based attack; RST-attack; image restoration; information embedding; multibit logo-based copyright protection scheme; signature-based geometric invariant; watermarking technique; Copyright protection; Gray-scale; Image restoration; PSNR; Public key cryptography; Resists; Robustness; Signal processing; Testing; Watermarking; Copyright protection; distortion; signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.313109
Filename
4106941
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