Shape preserving local histogram modification

Author

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

Author_Institution

Dept. of Math. & Inf., Univ. de les Illes Balears, Palma de Mallorca, Spain

Volume

8

Issue

2

fYear

1999

fDate

2/1/1999 12:00:00 AM

Firstpage

220

Lastpage

230

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

Keywords

image enhancement; mathematical morphology; color images; common local schemes; connected components; grey-values; image information; level sets; local histogram equalization algorithm; mathematical morphology; shape preserving contrast enhancement; shape preserving local histogram modification; spatial relations; spurious objects; Associate members; Color; Distribution functions; Histograms; Image processing; Layout; Mathematics; Morphology; Pixel; Shape;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.743856

Filename

743856