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Optical Engineering

Adaptive Filtering For Image Enhancement
Author(s): Tamar Peli; Jae S. Lim
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Paper Abstract

In this paper, we develop an image enhancement algorithm that modifies the local luminance mean of an image and controls the local contrast as a function of the local luminance mean of the image. The algorithm first separates an image into its lows (low-pass filtered form) and highs (high-pass filtered form) components. The lows component then controls the amplitude of the highs component to increase the local contrast. The lows component is then subjected to a nonlinearity to modify the local luminance mean of the image and is combined with the processed highs component. The performance of this algorithm when applied to enhance typical undegraded images, images with large shaded areas, and also images degraded by cloud cover will be illustrated by way of examples.

Paper Details

Date Published: 1 February 1982
PDF: 5 pages
Opt. Eng. 21(1) doi: 10.1117/12.7972868
Published in: Optical Engineering Volume 21, Issue 1
Show Author Affiliations
Tamar Peli, Massachusetts Institute of Technology (United States)
Jae S. Lim, Massachusetts Institute of Technology (United States)


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