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Proceedings Paper

Edge preserving image enhancement using anisotropic diffusion
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Paper Abstract

Enhancing an image in such a way that maintains image edges is a difficult problem. Many current methods for image enhancement either smooth edges on a small scale while improving contrast on a global scale or enhance edges on a large scale while amplifying noise on a small scale. One method which has been proposed for overcoming this is anisotropic diffusion, which views each image pixel as an energy sync which interacts with the surrounding pixels based upon the differences in pixel intensities and conductance values calculated from local edge estimates. In this paper, we propose a novel image enhancement method which makes use of these smoothed images produced by diffusion methods. The basic steps of this algorithm are: a) decompose an image into a smoothed image and a difference image, for example by using anisotropic diffusion or as in Lee's Algorithm [14]; b) apply two image enhancement algorithms, such as alpha rooting [7] or logarithmic transform shifting [15]; c) fuse these images together, for example by weighting the two enhanced images and summing them for the final image. Computer simulations comparing the results of the proposed method and current state-of-the-art enhancement methods will be presented. These simulations show the higher performance, both on the basis of subjective evaluation and objective measures, of the proposed method over current methods.

Paper Details

Date Published: 3 March 2008
PDF: 10 pages
Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 681218 (3 March 2008); doi: 10.1117/12.766893
Show Author Affiliations
Eric J. Wharton, Tufts Univ. (United States)
Karen A. Panetta, Tufts Univ. (United States)
Sos S. Agaian, The Univ. of Texas at San Antonio (United States)

Published in SPIE Proceedings Vol. 6812:
Image Processing: Algorithms and Systems VI
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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