Reconstruction of penumbral imaging based on a band-filtering algorithm

Xian-Hua Han; Chun Lin; ShuiYan Dai; Jian Li

doi:10.1117/12.740386

15 November 2007 Reconstruction of penumbral imaging based on a band-filtering algorithm

Xian-Hua Han, Chun Lin, ShuiYan Dai, Jian Li

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67872O (2007) https://doi.org/10.1117/12.740386
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Xian-Hua Han, Chun Lin, ShuiYan Dai, and Jian Li "Reconstruction of penumbral imaging based on a band-filtering algorithm", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872O (15 November 2007); https://doi.org/10.1117/12.740386

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