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 on the image grey-values and spatial relations between its pixels. Following mathematical morphology, these constitute the basic objects in the scene. We give examples for both grey-valued and color images.
| Original language | English |
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| Title of host publication | Proceedings: International Conference on Image Processing |
| Publisher | IEEE |
| Pages | 314-317 |
| Number of pages | 4 |
| Volume | 1 |
| ISBN (Print) | 0818681837 |
| DOIs | |
| Publication status | Published - 1997 |
| Externally published | Yes |
| Event | 1997 IEEE International Conference on Image Processing - Santa Barbara, United States Duration: 26 Oct 1997 → 29 Oct 1997 |
Conference
| Conference | 1997 IEEE International Conference on Image Processing |
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| Country/Territory | United States |
| City | Santa Barbara |
| Period | 26/10/97 → 29/10/97 |
Funding
This work was partially supported by DGICYT-PB94-1174, and by the Math, Computer, and Information Sciences Division at ONR. Part of this work was performed while GS was at HP Labs, California.