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 |
|---|---|
| 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