Beltrami geometrical framework of color image processing

Nir Sochen, Yehoshua Y. Zeevi

Research output: Contribution to journalConference articlepeer-review

Abstract

The Beltrami geometrical framework for scale-space flows is generalized to nontrivial color space geometries and implemented in analysis and processing of color images. An image is treated as an embedding of a manifold in a higher dimensional spatial-feature manifold. The embedding manifold is a hybrid space that includes spatial coordinates as well as feature coordinates. The features may include, apart from intensity and color, elements of the intensity jet bundle, wavelet parameters like typical local size and orientation and statistical characteristics. The models of color perception, interpreted as geometries of the color space which resulted in different enhanced processing schemes were demonstrated.

Original languageEnglish
Pages (from-to)3301-3304
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume6
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: 15 Mar 199919 Mar 1999

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