Independent component analysis based filtering for penumbral imaging

Journal Article · Fri Oct 01 00:00:00 EDT 2004 · Review of Scientific Instruments

DOI:https://doi.org/10.1063/1.1787932· OSTI ID:20641207

Yenwei, Chen; Xianhua, Han; Nozaki, Shinya ^[1]

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1. College of Information Science and Engineering, Ritsumeikan University, Shiga 525-8577 (Japan)

We propose a filtering based on independent component analysis (ICA) for Poisson noise reduction. In the proposed filtering, the image is first transformed to ICA domain and then the noise components are removed by a soft thresholding (shrinkage). The proposed filter, which is used as a preprocessing of the reconstruction, has been successfully applied to penumbral imaging. Both simulation results and experimental results show that the reconstructed image is dramatically improved in comparison to that without the noise-removing filters.

• OSTI ID: 20641207
• Journal Information: Review of Scientific Instruments, Vol. 75, Issue 10; Conference: 15. topical conference on high temperature plasma diagnostics, San Diego, CA (United States), 19-22 Apr 2004; Other Information: DOI: 10.1063/1.1787932; (c) 2004 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0034-6748
• Country of Publication: United States
• Language: English

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
IMAGE PROCESSING
IMAGES
NOISE
OPTICAL FILTERS
SHRINKAGE
SIMULATION
X-RAY RADIOGRAPHY