@article{oai:u-ryukyu.repo.nii.ac.jp:02001990,
 author = {Chen, Y.-W. and Arakawa, H. and Nakao, Z. and Yamashita, K. and Kodama, R. and 陳, 延偉 and 仲尾, 善勝 and Nakao, Zensho},
 issue = {54},
 journal = {琉球大学工学部紀要},
 note = {Penumbral imaging is a 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. In this paper, a two-step method is proposed for decoding penumbral images. First a local-statistic filter based on adaptive windowing is applied to smooth the noise; then, followed by the conventional linear deconvolution. The simulation results show that the reconstructed image is dramatically improved in comparison to that without the noise-smoothing filtering, and the proposed method is also applied to real experimetal x-ray imaging., 紀要論文},
 pages = {45--52},
 title = {A Noise-Smoothing Filter Based on Adaptive Windowing and Its Application to Penumbral Imaging}
}