EURASIP Journal on Applied Signal Processing 
Volume 2005 (2005), Issue 8, Pages 1185-1204
doi:10.1155/ASP.2005.1185

Three-State Locally Adaptive Texture Preserving Filter for Radar and Optical Image Processing

Oleg V. Tsymbal,1 Vladimir V. Lukin,2 Nikolay N. Ponomarenko,2 Alexander A. Zelensky,2 Karen O. Egiazarian,3 and Jaakko T. Astola3

 1Kalmykov Center for Radiophysical Sensing of Earth NANU NSAU, Kharkov 61070, Ukraine
2Department of Transmitters, Receivers, and Signal Processing, National Aerospace University, Kharkov 61070, Ukraine
3Institute of Signal Processing, Tampere University of Technology, Tampere 33101, Finland
Received 3 June 2004; Revised 11 October 2004

Recommended by Moon Gi Kang

Abstract

Textural features are one of the most important types of useful information contained in images. In practice, these features are commonly masked by noise. Relatively little attention has been paid to texture preserving properties of noise attenuation methods. This stimulates solving the following tasks: (1) to analyze the texture preservation properties of various filters; and (2) to design image processing methods capable to preserve texture features well and to effectively reduce noise. This paper deals with examining texture feature preserving properties of different filters. The study is performed for a set of texture samples and different noise variances. The locally adaptive three-state schemes are proposed for which texture is considered as a particular class. For “detection” of texture regions, several classifiers are proposed and analyzed. As shown, an appropriate trade-off of the designed filter properties is provided. This is demonstrated quantitatively for artificial test images and is confirmed visually for real-life images.