Shape preserving local histogram modification
Open Access
- 1 January 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 8 (2) , 220-230
- https://doi.org/10.1109/83.743856
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
This publication has 5 references indexed in Scilit:
- Edge-affected context for adaptive contrast enhancementPublished by Springer Nature ,2005
- Contrast Enhancement via Image Evolution FlowsGraphical Models and Image Processing, 1997
- Histogram Modification via Differential EquationsJournal of Differential Equations, 1997
- Axioms and fundamental equations of image processingArchive for Rational Mechanics and Analysis, 1993
- Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulationsJournal of Computational Physics, 1988