DocumentCode :
240031
Title :
GLSL in batch image processing
Author :
Tornai, Robert ; Papp, Ildiko ; Kunkli, Roland
Author_Institution :
Fac. of Inf., Univ. of Debrecen, Debrecen, Hungary
fYear :
2014
fDate :
5-7 Nov. 2014
Firstpage :
567
Lastpage :
567
Abstract :
This demo considers the construction of an image processing software system for collaborative work in networked environment. This system relies on OpenGL and its GLSL subsystem. Unfortunately, even commercial softwares use OpenGL only for rotating and zooming. Moreover, there is a feature that almost all of the image editing softwares are missing: if the distortion of the transfer curve of the printing process is known, the edited picture may be predistorted before applying the final step for linear image transfer [1]. In the case of medical pictures (e.g.: color fundus images), sharpening, edge detection, contrast enhancement, contrast limited adaptive histogram equalization, gray world normalization, histogram equalization or intensity adjustment tasks arise [2]. The speed up factor is the primary concern for the batch processing, while the software is targeted to fulfill the demands for one image in real time.
Keywords :
application program interfaces; edge detection; graphics processing units; image enhancement; GLSL subsystem; OpenGL; batch image processing; collaborative work; commercial softwares; contrast enhancement; contrast limited adaptive histogram equalization; edge detection; gray world normalization; image editing softwares; image processing software system; linear image transfer; medical picture sharpening; networked environment; printing process; transfer curve distortion; Batch production systems; Benchmark testing; Conferences; Histograms; Image color analysis; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on
Conference_Location :
Vietri sul Mare
Type :
conf
DOI :
10.1109/CogInfoCom.2014.7020407
Filename :
7020407
Link To Document :
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