Shape preserving local histogram modification

Vicent Caselles, Jose Luis Lisani, Jean Michel Morel, Guillermo Sapiro

Research output: Contribution to journalArticlepeer-review

133 Scopus citations

Abstract

A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information. The scheme is based on equalizing the histogram in all the connected components of the image, which are defined based both on the grey-values and spatial relations between pixels in the image, and following mathematical morphology, constitute the basic objects in the scene. We give examples for both grey-value and color images.

Original languageEnglish (US)
Pages (from-to)220-230
Number of pages11
JournalIEEE Transactions on Image Processing
Volume8
Issue number2
DOIs
StatePublished - 1999
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

Keywords

  • Connected components
  • Histogram equalization
  • Level-sets
  • Local operations
  • Mathematical morphology

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