Abstract
In this paper we present a parallel code which performs an iterative image deconvolution using either a spatially-invariant point spread function (SI-PSF) or a spatially-variant point spread function (SV-PSF). The basic algorithm (Richardson-Lucy Maximum-Likelihood iterative procedure) is described as well as a description of the parallel implementation. Applications and results in the area of medical x-ray imaging is discussed.
Original language | English |
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Pages (from-to) | 787-795 |
Number of pages | 9 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 4322 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2001 |
Keywords
- Computed radiography
- Deconvolution
- Spatially variant PSF
- Wavelet denoising