A class of adaptive directional image smoothing filters

Date
1996-12
Authors
Gürelli, M. İ.
Onural, L.
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
Pattern Recognition
Print ISSN
0031-3203
Electronic ISSN
1873-5142
Publisher
Elsevier BV
Volume
29
Issue
12
Pages
1995 - 2004
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
Series
Abstract

The gray level distribution around a pixel of an image usually tends to be more coherent in some directions compared to other directions. The idea of adaptive directional filtering is to estimate the direction of higher coherence around each pixel location and then to employ a window which approximates a line segment in that direction. Hence, the details of the image may be preserved while maintaining a satisfactory level of noise suppression performance. In this paper we describe a class of adaptive directional image smoothing filters based on generalized Gaussian distributions. We propose a measure of spread for the pixel values based on the maximum likelihood estimate of a scale parameter involved in the generalized Gaussian distribution. Several experimental results indicate a significant improvement compared to some standard filters.

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Book Title
Keywords
Adaptive filtering, Directional filtering, Image smoothing, Linear filtering, Median filtering
Citation
Published Version (Please cite this version)