Combined Noise Reduction in CT-Image Based on Adaptive Median Filter and Wavelet Packet

  • Houjie Li
  • Jiyin Zhao
  • Shuang Xu
  • Yanqiu Cui
Part of the Communications in Computer and Information Science book series (CCIS, volume 231)

Abstract

Computed tomography (CT), as an import medical supplementary means, may be corrupted by various noises and result in clinical diagnosis reliability reduction. In this paper, considering CT-image simultaneously corrupted by Salt & Pepper noise and Gaussian white noise, we present an effective CT-image combined denoising algorithm based on adaptive median filter (AMF) and wavelet packet threshold shrinkage (APTS). The algorithm exploits AMF Salt & Pepper noise efficient suppressing and better structure-preserving property than traditional median filter. Meanwhile, it also utilizes more refined analysis characteristic and higher time-frequency resolution of wavelet packet transform than wavelet to decrease the probability mistaking image information as noise. The experimental results show that the proposed scheme effectively reduces hybrid noise, and furthermore possible preserve clinically relevant image contents.

Keywords

combined noise reduction CT-image Salt & Pepper noise Gaussian white noise adaptive median filter Wavelet packet transform 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Houjie Li
    • 1
  • Jiyin Zhao
    • 1
  • Shuang Xu
    • 1
  • Yanqiu Cui
    • 1
  1. 1.College of Electromechanical & Information EngineeringDalian Nationalities UniversityDalianChina

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