title: A median-Gaussian filtering framework for Moiré pattern noise removal from X-ray microscopy image.
abstract: Moiré pattern noise in Scanning Transmission X-ray Microscopy (STXM) imaging introduces significant errors in qualitative and quantitative image analysis. Due to the complex origin of the noise, it is difficult to avoid Moiré pattern noise during the image data acquisition stage. In this paper, we introduce a post-processing method for filtering Moiré pattern noise from STXM images. This method includes a semi-automatic detection of the spectral peaks in the Fourier amplitude spectrum by using a local median filter, and elimination of the spectral noise peaks using a Gaussian notch filter. The proposed median-Gaussian filtering framework shows good results for STXM images with the size of power of two, if such parameters as threshold, sizes of the median and Gaussian filters, and size of the low frequency window, have been properly selected.
authors.affiliation: Department of Anatomy & Cell Biology, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada. zhouping.wei@usask.ca
authors.forename: Zhouping
authors.initials: Z
authors.lastname: Wei
authors.forename: Jian
authors.initials: J
authors.lastname: Wang
authors.forename: Helen
authors.initials: H
authors.lastname: Nichol
authors.forename: Sheldon
authors.initials: S
authors.lastname: Wiebe
authors.forename: Dean
authors.initials: D
authors.lastname: Chapman