Simultaneous contrast improvement and denoising via diffusion-related equations

Guillermo Sapiro; Vicent Caselles

doi:10.1117/12.216427

Translator Disclaimer

11 August 1995 Simultaneous contrast improvement and denoising via diffusion-related equations

Guillermo Sapiro, Vicent Caselles

Author Affiliations +

Proceedings Volume 2573, Vision Geometry IV; (1995) https://doi.org/10.1117/12.216427
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Guillermo Sapiro and Vicent Caselles "Simultaneous contrast improvement and denoising via diffusion-related equations", Proc. SPIE 2573, Vision Geometry IV, (11 August 1995); https://doi.org/10.1117/12.216427

ACCESS THE FULL ARTICLE