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
Link To Document :
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