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Shape preserving local histogram modification.

Publication ,  Journal Article
Caselles, V; Lisani, JL; Morel, JM; Sapiro, G
Published in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
January 1999
Published version (DOI)

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.

Duke Scholars

Guillermo Sapiro
Author Guillermo Sapiro Electrical and Computer Engineering
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Published In

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

DOI

10.1109/83.743856

EISSN

1941-0042

ISSN

1057-7149

Publication Date

January 1999

Volume

8

Issue

2

Start / End Page

220 / 230

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4607 Graphics, augmented reality and games
  • 4603 Computer vision and multimedia computation
  • 1702 Cognitive Sciences
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Caselles, V., Lisani, J. L., Morel, J. M., & Sapiro, G. (1999). Shape preserving local histogram modification. IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, 8(2), 220–230. https://doi.org/10.1109/83.743856
Caselles, V., J. L. Lisani, J. M. Morel, and G. Sapiro. “Shape preserving local histogram modification.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society 8, no. 2 (January 1999): 220–30. https://doi.org/10.1109/83.743856.
Caselles V, Lisani JL, Morel JM, Sapiro G. Shape preserving local histogram modification. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 1999 Jan;8(2):220–30.
Caselles, V., et al. “Shape preserving local histogram modification.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, vol. 8, no. 2, Jan. 1999, pp. 220–30. Epmc, doi:10.1109/83.743856.
Caselles V, Lisani JL, Morel JM, Sapiro G. Shape preserving local histogram modification. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 1999 Jan;8(2):220–230.

Published In

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

DOI

10.1109/83.743856

EISSN

1941-0042

ISSN

1057-7149

Publication Date

January 1999

Volume

8

Issue

2

Start / End Page

220 / 230

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4607 Graphics, augmented reality and games
  • 4603 Computer vision and multimedia computation
  • 1702 Cognitive Sciences
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing