NDLI: Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging

Content Provider	IET Digital Library
Author	Jin, Qiyu Miyashita, Osamu Tama, Florence Yang, Jie Jonic, Slavica
Abstract	This study describes an improved method for Poisson image denoising that is based on a state-of-the-art Poisson denoising approach known as non-local principal component analysis (NLPCA). The new method is referred to as PieceWise Principal Component Analysis (PWPCA). In PWPCA, the given image is first split into pieces, then NLPCA is run on each image piece, and finally the entire image is reconstituted by a weighted combination of the NLPCA-processed image pieces. Using standard test images with Poisson noise, the authors show that PWPCA restores images more effectively than state-of-the-art Poisson denoising approaches. In addition, and to the best of their knowledge, they show the first application of such approaches to single-particle X-ray free-electron laser (XFEL) data. They show that the resolution of three-dimensional reconstruction from XFEL diffraction images is improved when the data are preprocessed with PWPCA. XFELs are currently under rapid development to allow high-resolution biomolecular structure determination at near-physiological conditions. Data analysis methods developments follow these technological advances and are expected to have high impact in structural biology and drug design. This study contributes to these developments. As little experimental single-particle XFEL data is available still, the XFEL experiments shown here were performed with simulated data.
Starting Page	2264
Ending Page	2274
Page Count	11
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 12, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5145
Journal	IET Image Processing
Publisher Date	2018-09-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Data Analysis Data Analysis Method Developments Entire Image Experimental Single-particle XFEL Data Free Electron Lasers Free-electron Laser Data Given Image Image Denoising Image Piece Molecular Biophysics NLPCA-processed Image Pieces Nonlocal Principal Component Analysis Optical, Image And Video Signal Processing Poisson Image Denoising Poisson Noise Principal Component Analysis Probability Theory PWPCA Single-particle X-Ray Diffraction Standard Test Image State-of-the-art Poisson Denoising Approach Statistics Stochastic Linearised SCUC X-Ray Lasers XFEL Diffraction Image
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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