DocumentCode :
2577801
Title :
Gaussian scale-space features for semi-fragile image authentication
Author :
Schlauweg, Mathias ; Müller, Erika
Author_Institution :
Fac. of Comput. Sci. & Electr. Eng., Univ. of Rostock, Rostock, Germany
fYear :
2009
fDate :
6-8 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we propose a new robust image hashing approach to be used for semi-fragile image authentication. We use a texture-based feature, the so-called gray-level blob in Gaussian scale-space, which is invariant to scaling, rotation, and translation. It is associated with the image content and thus independent of image geometry. Furthermore, we show that our new approach is robust against a variety of signal processing operations, such as lossy compression, contrast and luminance enhancement, blurring, sharpening as well as noise adding.
Keywords :
Gaussian processes; cryptography; data compression; feature extraction; image coding; image enhancement; image texture; message authentication; Gaussian scale-space features; contrast enhancement; gray-level blob; image blurring; image geometry; image sharpening; lossy compression; luminance enhancement; robust image hashing approach; semifragile image authentication; signal processing operation; texture-based feature; Authentication; Computer vision; Cryptography; Detectors; Digital images; Image coding; Noise robustness; Signal generators; Signal processing; Watermarking; Digital watermarking; Gaussian scale-space; RST-invariant; texture-based feature points;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
Type :
conf
DOI :
10.1109/PCS.2009.5167462
Filename :
5167462
Link To Document :
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