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Proceedings Paper

Adaptive Filter Techniques For Digital Image Enhancement
Author(s): Victor T. Tom
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Paper Abstract

A survey of several adaptive techniques for image enhancement and filtering is presented under a com-mon framework. With the proliferation high-speed processors, such as array and image display processors, the increased computational power has shifted emphasis in image processing away from "global" to "local" techniques. These local techniques frequently use sliding windows which compute local properties of the image. These properties, in turn, are used to locally control the enhancement or filter applied to the image. The types of operations discussed encompass contrast, edge or information enhancment, noise or artifact reduction, and feature extraction or removal. Algorithmic implementations include real-time con-trast enhancement filters, zonal filters, short-space FFT filters, and a multi-dimensional adaptive least-squares technique. In this review paper, an adaptive frame-work, discussions on various enhancement approaches, and an extensive bibliography are presented.

Paper Details

Date Published: 22 July 1985
PDF: 14 pages
Proc. SPIE 0528, Digital Image Processing, (22 July 1985); doi: 10.1117/12.946405
Show Author Affiliations
Victor T. Tom, The Analytic Sciences Corporation (United States)

Published in SPIE Proceedings Vol. 0528:
Digital Image Processing
Andrew G. Tescher, Editor(s)

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