15 November 2007 Reconstruction of penumbral imaging based on a band-filtering algorithm
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xian-Hua Han, Xian-Hua Han, Chun Lin, Chun Lin, ShuiYan Dai, ShuiYan Dai, Jian Li, Jian Li, } "Reconstruction of penumbral imaging based on a band-filtering algorithm", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872O (15 November 2007); doi: 10.1117/12.740386; https://doi.org/10.1117/12.740386
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT


Back to Top