Image decomposition and enhancement using rank filtering

Pavel A. Chochia

doi:10.1117/12.302494

10 March 1998 Image decomposition and enhancement using rank filtering

Pavel A. Chochia

Proceedings Volume 3348, Optical Information Science and Technology (OIST97): Computer and Holographic Optics and Image Processing; (1998) https://doi.org/10.1117/12.302494
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

Abstract

An image is considered to be a blend of several statistically and semantically independent components, containing details of different information classes. Discussing about image decomposition we mean the splitting of an image onto the set of these components. Statistical distinctions of them allow to find effective algorithm for decomposition of received image to several components of different properties. It gives the opportunity to extract from an image only the component of interest, to avoid redundant information from the following analysis, and to create decomposition-based image processing methods. In the paper we consider multicomponent model of image fragment, propose rank algorithm for image decomposition, and discuss image enhancement algorithm, being based on the preliminary decomposition.

Citation Download Citation

Pavel A. Chochia "Image decomposition and enhancement using rank filtering", Proc. SPIE 3348, Optical Information Science and Technology (OIST97): Computer and Holographic Optics and Image Processing, (10 March 1998); https://doi.org/10.1117/12.302494

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