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Proceedings Paper

Simultaneous contrast improvement and denoising via diffusion-related equations
Author(s): Guillermo Sapiro; Vicent Caselles
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Paper Abstract

The explicit use of partial differential equations (PDE's) in image processing became a major topic of study in the last years. In this work we present an algorithm for histogram modification via PDE's. We show that the histogram can be modified to achieve any given distribution. The modification can be performed while simultaneously reducing noise. This avoids the noise sharpening effect in classical algorithms. The approach is extended to local contrast enhancement as well. A variational interpretation of the flow is presented and theoretical results on the existence of solutions are given.

Paper Details

Date Published: 11 August 1995
PDF: 12 pages
Proc. SPIE 2573, Vision Geometry IV, (11 August 1995); doi: 10.1117/12.216427
Show Author Affiliations
Guillermo Sapiro, Hewlett-Packard Labs. (United States)
Vicent Caselles, Univ. of Illes Balears (Spain)


Published in SPIE Proceedings Vol. 2573:
Vision Geometry IV
Robert A. Melter; Angela Y. Wu; Fred L. Bookstein; William D. K. Green, Editor(s)

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