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Optical Engineering

Scale-based image enhancement using modified anisotropic diffusion filter
Author(s): Young Chul Song; Doo-Hyun Choi
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Paper Abstract

We propose a scale-based image enhancement method using a modified anisotropic diffusion filter that employs sensor noise estimation and scale space methods based on a minimum reliable scale. Based on the relationship between the local gradient and the critical value function, an image is classified into various scales representing the region's complexity. The degree of enhancement is then adjusted according to each region's complexity. When compared to the existing linear unsharp masking, adaptive unsharp masking, and warping-based methods, the proposed algorithm produces negligible noise amplification in homogeneous regions and superior edge enhancement.

Paper Details

Date Published: 1 September 2004
PDF: 6 pages
Opt. Eng. 43(9) doi: 10.1117/1.1778730
Published in: Optical Engineering Volume 43, Issue 9
Show Author Affiliations
Young Chul Song, Kyungpook National Univ. (South Korea)
Doo-Hyun Choi, Kyungpook National Univ. (South Korea)

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