Image Hashing has several applications such as image authentication, image indexing and broadcast monitoring. In the content authentication applications, the hash values of perceptually similar images generated by content preserving modification, such as compression and moderate geometric distortions, also must be similar. Taking this into account we propose an improvement of the Radon transform-based image hashing algorithms, introducing an image normalization algorithm in the preprocessing stage. In the proposed scheme, robustness against geometrical distortions is increased considerably, while keeping the robustness to other content preserving modifications, such as compression, and filtering, which are offered by Radon transform.
Improvement of Radon-Based Image Hashing Using Image Normalization
2011-11-01
840159 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Improvement of Radon Transform-based Perceptual Hashing using Image Normalization
British Library Online Contents | 2012
|Improvement of Radon Transform-Based Perceptual Hashing using Image Normalization
British Library Online Contents | 2012
|Image recognition using Radon transform
IEEE | 2003
|Image Recognition Using Radon Transform
British Library Conference Proceedings | 2003
|Robust image hashing based on radial variance of pixels
IEEE | 2005
|