Title :
Parallel image sharpness measure for supercomputing environment
Author :
Windisch, Gergely ; Kozlovszky, Miklos
Author_Institution :
John von Neumann Fac. of Inf., Obuda Univ., Budapest, Hungary
Abstract :
Image sharpness is an important part of the overall quality of an image. There are multiple metrics to evaluate image sharpness, the algorithms are mainly created for regular desktop computers. This article describes the sharpness metrics devised and implemented at Obuda University parallelized and ported to an HPC infrastructure. Along with the native ported application a workflow has been created on the gUSE/WS-PGRADE portal system and an ASM portlet has been developed to make the service readily available to.
Keywords :
image processing; parallel processing; portals; ASM portlet; HPC infrastructure; Obuda University; gUSE/WS-PGRADE portal system; image quality; native ported application; parallel image sharpness measure; regular desktop computers; sharpness metrics; supercomputing environment; Bioinformatics; Biomedical imaging; Logic gates; Measurement; Portals; Program processors; Supercomputers;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
Conference_Location :
Herl´any
DOI :
10.1109/SAMI.2015.7061890
