Shape preserving local contrast enhancement
Publication
, Journal Article
Caselles, V; Lisani, JL; Morel, JM; Sapiro, G
Published in: IEEE International Conference on Image Processing
December 1, 1997
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.
Duke Scholars
Published In
IEEE International Conference on Image Processing
Publication Date
December 1, 1997
Volume
1
Start / End Page
314 / 317
Citation
APA
Chicago
ICMJE
MLA
NLM
Caselles, V., Lisani, J. L., Morel, J. M., & Sapiro, G. (1997). Shape preserving local contrast enhancement. IEEE International Conference on Image Processing, 1, 314–317.
Caselles, V., J. L. Lisani, J. M. Morel, and G. Sapiro. “Shape preserving local contrast enhancement.” IEEE International Conference on Image Processing 1 (December 1, 1997): 314–17.
Caselles V, Lisani JL, Morel JM, Sapiro G. Shape preserving local contrast enhancement. IEEE International Conference on Image Processing. 1997 Dec 1;1:314–7.
Caselles, V., et al. “Shape preserving local contrast enhancement.” IEEE International Conference on Image Processing, vol. 1, Dec. 1997, pp. 314–17.
Caselles V, Lisani JL, Morel JM, Sapiro G. Shape preserving local contrast enhancement. IEEE International Conference on Image Processing. 1997 Dec 1;1:314–317.
Published In
IEEE International Conference on Image Processing
Publication Date
December 1, 1997
Volume
1
Start / End Page
314 / 317