Objective image quality assessment of multiframe super-resolution methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00208437" target="_blank" >RIV/68407700:21230/13:00208437 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/RadioElek.2013.6530929" target="_blank" >http://dx.doi.org/10.1109/RadioElek.2013.6530929</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/RadioElek.2013.6530929" target="_blank" >10.1109/RadioElek.2013.6530929</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Objective image quality assessment of multiframe super-resolution methods

Popis výsledku v původním jazyce

Super-resolution (SR) represents a class of signal processing methods allowing to create a high resolution image (HR) from several low resolution images (LR) of the same scene. Therefore, high spatial frequency information can be recovered. Applicationsmay include but are not limited to HDTV, biological imaging, surveillance, forensic investigation. In this paper, a survey of SR methods is provided with focus on the non-uniform interpolation SR approach because of its lower computational demand. Basedon this survey eight SR reconstruction algorithms were implemented. Performance of these algorithms was evaluated by means of objective image quality criteria PSNR, MSSIM and computational complexity to determine the most suitable algorithm for real video applications. The algorithm should be reasonably computationally efficient to process a large number of color images and achieve good image quality for input videos with various characteristics. This algorithm has been successfully appl

Název v anglickém jazyce

Objective image quality assessment of multiframe super-resolution methods

Popis výsledku anglicky

Super-resolution (SR) represents a class of signal processing methods allowing to create a high resolution image (HR) from several low resolution images (LR) of the same scene. Therefore, high spatial frequency information can be recovered. Applicationsmay include but are not limited to HDTV, biological imaging, surveillance, forensic investigation. In this paper, a survey of SR methods is provided with focus on the non-uniform interpolation SR approach because of its lower computational demand. Basedon this survey eight SR reconstruction algorithms were implemented. Performance of these algorithms was evaluated by means of objective image quality criteria PSNR, MSSIM and computational complexity to determine the most suitable algorithm for real video applications. The algorithm should be reasonably computationally efficient to process a large number of color images and achieve good image quality for input videos with various characteristics. This algorithm has been successfully appl

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 23th International Conference RADIOELEKTRONIKA 2013

ISBN

978-1-4673-5516-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

267-272

Název nakladatele

Univerzita Pardubice

Místo vydání

Pardubice

Místo konání akce

Pardubice

Datum konání akce

16. 4. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000326877900048