|Title:||Computation time optimization in super-resolution applications||Authors:||Quevedo, Eduardo
Callicó, Gustavo M.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Super-Resolution
|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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