Image restoration involving connectedness

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

5 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)84-95
Journal / PublicationProceedings of SPIE - The International Society for Optical Engineering
Volume3346
Publication statusPublished - 1997
Externally publishedYes

Conference

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

Abstract

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

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to lbscholars@cityu.edu.hk.