Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46818
Title: Computation time optimization in super-resolution applications
Authors: Quevedo, Eduardo 
Horat, David
Callicó, Gustavo M. 
Tobajas, Félix 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Super-Resolution
Image enhancement
Computation time
Issue Date: 2013
Journal: Lecture Notes in Computer Science 
Conference: 14th International Conference on Computer Aided Systems Theory (EUROCAST) 
14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 
Abstract: The necessity to improve image resolution is of great concern in multiple diverse fields such as: medicine, communications, or satellite and underwater applications. A high variety of techniques for image enhancement has been proposed in the literature, being a trade-off the relation between the computation time and the quality of the obtained results. This work is focused on a test environment that permits to objectively compare the quality enhancement of images processed by two different improvement methods: bilinear interpolation and Super-Resolution (SR), presenting how these results relate to the computation time. The objective comparison is based on the PSNR (Peak Signal-to-Noise Ratio) and the SSIM (Structural SIMilarity).
URI: http://hdl.handle.net/10553/46818
ISBN: 9783642538612
ISSN: 0302-9743
DOI: 10.1007/978-3-642-53862-9-14
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 8112 LNCS, p. 101-108
Appears in Collections:Actas de congresos
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