Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise

Ymir Mäkinen, Stefano Marchesini, Alessandro Foi

Research output: Contribution to journalArticleScientificpeer-review

6 Downloads (Pure)

Abstract

X-ray micro-tomography systems often suffer from high levels of noise. In particular, severe ring artifacts are common in reconstructed images, caused by defects in the detector, calibration errors, and fluctuations producing streak noise in the raw sinogram data. Furthermore, the projections commonly contain high levels of Poissonian noise arising from the photon-counting detector. This work presents a 3-D multiscale framework for streak attenuation through a purposely designed collaborative filtering of correlated noise in volumetric data. A distinct multiscale denoising step for attenuation of the Poissonian noise is further proposed. By utilizing the volumetric structure of the projection data, the proposed fully automatic procedure offers improved feature preservation compared with 2-D denoising and avoids artifacts which arise from individual filtering of sinograms.

Original languageEnglish
Pages (from-to)829-842
Number of pages14
JournalJOURNAL OF SYNCHROTRON RADIATION
Volume29
DOIs
Publication statusPublished - 21 Apr 2022
Publication typeA1 Journal article-refereed

Keywords

  • artifact
  • BM4D
  • image processing
  • noise
  • tomography

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Instrumentation

Fingerprint

Dive into the research topics of 'Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise'. Together they form a unique fingerprint.

Cite this