MinBAD: The Minimum-Biased Anisotropic Di usion for Noise Removal

Abstract

One of most challenging problems in image processing is edge-preserving noise removal, because edges deliver most important information to the human visual system. The article is concerned with eÆcient numerical techniques for edge-preserving noise removal, solving nonlinear partial di erential equations. A new minimum-biased anisotropic di usion (MinBAD… (More)

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Cite this paper

@inproceedings{Kim2003MinBADTM, title={MinBAD: The Minimum-Biased Anisotropic Di usion for Noise Removal}, author={Seongjai Kim and Ionut Emil Iacob and Matthew Tynan and P. Dunbar}, year={2003} }