Wavelet based denoising for images degraded by Poisson noise

  • Authors:

  • Tetsuya Shimamura;Shintaro Eda;Yoshikazu Kuwano;Takeo Ito;Yoshitake Takahashi

  • Affiliations:

  • Saitama University, Shimo-Okubo, Saitama, Japan;Saitama University, Shimo-Okubo, Saitama, Japan;Aihara Hospital, Aihara, Sagamihara, Kanagawa, Japan;Yokohama Shintoshi Neurosurgical Hospital, Aoba-Ku, Yokohama, Kanagawa;FUJIFILM RI Pharma Co., Ltd., Kyobashi, Chuo-Ku, Tokyo, Japan

  • Venue:
  • BioMED '08 Proceedings of the Sixth IASTED International Conference on Biomedical Engineering
  • Year:
  • 2008

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Abstract

This paper presents a method to denoise an image degraded by Poisson noise. Poisson noise is signal-dependent so that the variance of the noise changes in proportion to pixel values of the image. In the method, the pixel values based division technique, which was recently addressed, is first utilized to whiten Poisson noise. Then, the wavelet shrinkage is used to remove the remaining noise in the processed image. Simulation experiments demonstrate that the proposed method works well on SPECT images.