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Proceedings Paper

Reconstruction of penumbral imaging based on a band-filtering algorithm
Author(s): Xian-Hua Han; Chun Lin; ShuiYan Dai; Jian Li
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Paper Abstract

Penumbral imaging is a kind of technique which uses the facts that spatial information can be recovered from the shadow or penumbra that an unknown source casts through a simple large circular aperture. The technique is based on a linear deconvolution. As we known that the information of the penumbral image is only contained in the penumbra (the edges of the image), so according to that principle, we proposed a two-step method for decoding penumbral images in this paper. First, an edgy-emphasizing algorithm using a band filter is applied to extract the penumbras (the image edges) in noisy penumbral images; then, followed by conventional linear deconvolution of only the penumbral edges. The simulation results show that the reconstructed image is dramatically improved in comparison to that with the conventional noise-removing filters, and the proposed method is also applied to real experimental x-ray imaging.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872O (15 November 2007); doi: 10.1117/12.740386
Show Author Affiliations
Xian-Hua Han, Central South Univ. of Forestry and Technology (China)
Ritsumeikan Univ. (Japan)
Chun Lin, Central South Univ. of Forestry and Technology (China)
ShuiYan Dai, Central South Univ. of Forestry and Technology (China)
Jian Li, Central South Univ. of Forestry and Technology (China)


Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing

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