Image restoration involving connectedness

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

5 Scopus Citations
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Original languageEnglish
Pages (from-to)84-95
Journal / PublicationProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1997
Externally publishedYes


Title6th International Workshop on Digital Image Processing and Computer Graphics (DIP-97): Applications in Humanities and Natural Sciences
Period20 - 22 October 1997


Two local adaptative nonlinear filters for image denoising are described and compared to other methods. The first one is a median filter computed over a connected neighborhood that fits the local conformation of level lines. The second one deals with the size of grains in image. Both filters depend on a single parameter, the area A, are morphological and associated with smooth as well as unsmooth fixed points. They make the total variation decrease and are able more than other classic morphological filters to denoise while preserving image structures. They are particularly designed for automation.

Research Area(s)

  • Additive or impulse noise, Automation, Blind restoration, Connectedness, Local adaptative morphological filtering, Smooth and unsmooth fixed point

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