文章詳目資料
International Journal of Science and Engineering
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| 篇名 | Improvement of a prior-knowledge-based method for reconstructing non-compactly support functions |
|---|---|
| 卷期 | 4:2 |
| 作者 | Shieh, Hsin M. 、 Hu, Jhih Y. 、 Wang, Cheng J. 、 Wang, Wen-yan |
| 頁次 | 159-162 |
| 出刊日期 | 201406 |
| DOI | 10.6159/IJSE.2014.(4-2).39 |
中文摘要
英文摘要
For improving the prior discrete Fourier transform (PDFT) algorithm in reconstructing small-scale portions of interest in a compactly-supported function from limited Fouriertransform data, we had successfully developed a promising technique based on a linear combination of differently-weighted spatial frequency components of the reconstructed image. This approach has been proved and demonstrated a great potential in resolution enhancement, while in this paper we further extend it for being applicable to the imaging problem with non-compactlysupported object functions. The success of this extension is essentially driven by the fact that the support domain of object functions fully occupies the image scope to which the measured data corresponds. Our newly-developed technique is tested on one- and two-dimensional simulations.