Parallel image restoration with spatially variant point spread function: description and first clinical results

Autor:	Lukasz Jelen, Peter McCarthy, Wilhelm J.M. van der Putten, Gerard Gorman, Andrew Shearer, Triona O'Doherty
Rok vydání:	2001
Předmět:	Point spread function Blind deconvolution business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Richardson–Lucy deconvolution Image processing Image segmentation Fixed point Computer vision Deconvolution Artificial intelligence business Image restoration Mathematics
Zdroj:	Medical Imaging: Image Processing
ISSN:	0277-786X
DOI:	10.1117/12.431157
Popis:	In this paper we present a parallel code which performs in 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 is described as well as a description of the parallel implementation. Applications and results in the area of medical x-ray imaging is discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b78fd364a33bcc0dc25b1ed3b78b0d02 https://doi.org/10.1117/12.431157 Zobrazit plný text záznamu