Noise removal for degraded images with Poisson noise using M-transformation and BayesShrink method

Abstract

Median filters and other nonlinear filters have been investigated for restoration of degraded images with Poisson noise. Recently, subband image restoration using the wavelet transform has been attracting much attention. This method is effective for small-amplitude noise, but in the case of Poisson noise, large-amplitude noise exceeds the preset threshold and is not removed. In this study, we propose a new method of noise removal from degraded images with Poisson noise by using a combination of the M-transformation [5] and the wavelet BayesShrink method. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(11): 11–20, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20357