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Robust Impulse-Noise Filtering for Biomedical Images Using Numerical Interpolation

  • Jinwei Xu
  • Tuan D. Pham
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7325)

Abstract

Analysis of molecular and medical images is an important area of interdisciplinary research. Accurate interpretation and understanding of those images is increasingly demanding because it opens doors to accurate diagnoses of diseases and novel biomedical discovery. During the image collection, imaging devices are quite often interfered by various noise sources. Impulse noise degrades biomedical image details such as edges, contours and texture. In this paper we present a robust technique for filtering impulse-noise degraded biomedical images. The proposed filter is based on noise detector and cubic interpolation. Experimental results on several types of biomedical images and comparisons with several existing noise-filtering models have demonstrated that not only the proposed filter is effective for noise removal but also for image detail preservation.

Keywords

Biomedical images impulse noise noise removal cubic interpolation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jinwei Xu
    • 1
  • Tuan D. Pham
    • 2
  1. 1.School of Engineering and Information TechnologyThe University of New South WalesCanberraAustralia
  2. 2.School of Computer Science and Engineering, Research Center for Advanced Information Science and TechnologyThe University of AizuAizu-Wakamatsu CityJapan

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