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Open Access

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

  • Oleg V. Tsymbal1Email author,
  • Vladimir V. Lukin2,
  • Nikolay N. Ponomarenko2,
  • Alexander A. Zelensky2,
  • Karen O. Egiazarian3 and
  • Jaakko T. Astola3
EURASIP Journal on Advances in Signal Processing20052005:851609

https://doi.org/10.1155/ASP.2005.1185

Received: 3 June 2004

Published: 31 May 2005

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.

Keywords and phrases

texture feature preservationimage processing

Authors’ Affiliations

(1)
Kalmykov Center for Radiophysical Sensing of Earth NANU NSAU, Kharkov, Ukraine
(2)
Department of Transmitters, Receivers, and Signal Processing, National Aerospace University, Kharkov, Ukraine
(3)
Institute of Signal Processing, Tampere University of Technology, Tampere, Finland

Copyright

© Tsymbal et al. 2005

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