Abstract:
:Various deconvolution algorithms are often used for restoration of digital images. Image deconvolution is especially needed for the correction of three-dimensional images obtained by confocal laser scanning microscopy. Such images suffer from distortions, particularly in the Z dimension. As a result, reliable automatic segmentation of these images may be difficult or even impossible. Effective deconvolution algorithms are memory-intensive and time-consuming. In this work, we propose a parallel version of the well-known Richardson-Lucy deconvolution algorithm developed for a system with distributed memory and implemented with the use of Message Passing Interface (MPI). It enables significantly more rapid deconvolution of two-dimensional and three-dimensional images by efficiently splitting the computation across multiple computers. The implementation of this algorithm can be used on professional clusters provided by computing centers as well as on simple networks of ordinary PC machines.
journal_name
Microsc Res Techjournal_title
Microscopy research and techniqueauthors
Pawliczek P,Romanowska-Pawliczek A,Soltys Zdoi
10.1002/jemt.20773subject
Has Abstractpub_date
2010-03-01 00:00:00pages
187-94issue
3eissn
1059-910Xissn
1097-0029journal_volume
73pub_type
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