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