Using full-reference image quality metrics for automatic image sharpening

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221739" target="_blank" >RIV/68407700:21230/14:00221739 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.2052275" target="_blank" >http://dx.doi.org/10.1117/12.2052275</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2052275" target="_blank" >10.1117/12.2052275</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using full-reference image quality metrics for automatic image sharpening

Popis výsledku v původním jazyce

Image sharpening is a post-processing technique employed for the artificial enhancement of the perceived sharpness by shortening the transitions between luminance levels or increasing the contrast on the edges. The greatest challenge in this area is to determine the level of perceived sharpness which is optimal for human observers. This task is complex because the enhancement is gained only until the certain threshold. After reaching it, the quality of the resulting image drops due to the presence of annoying artifacts. Despite the effort dedicated to the automatic sharpness estimation, none of the existing metrics is designed for localization of this threshold. Nevertheless, it is a very important step towards the automatic image sharpening. In this work, possible usage of full-reference image quality metrics for finding the optimal amount of sharpening is proposed and investigated. The intentionally over-sharpened "anchor image" was included to the calculation as the "anti-reference"

Název v anglickém jazyce

Using full-reference image quality metrics for automatic image sharpening

Popis výsledku anglicky

Image sharpening is a post-processing technique employed for the artificial enhancement of the perceived sharpness by shortening the transitions between luminance levels or increasing the contrast on the edges. The greatest challenge in this area is to determine the level of perceived sharpness which is optimal for human observers. This task is complex because the enhancement is gained only until the certain threshold. After reaching it, the quality of the resulting image drops due to the presence of annoying artifacts. Despite the effort dedicated to the automatic sharpness estimation, none of the existing metrics is designed for localization of this threshold. Nevertheless, it is a very important step towards the automatic image sharpening. In this work, possible usage of full-reference image quality metrics for finding the optimal amount of sharpening is proposed and investigated. The intentionally over-sharpened "anchor image" was included to the calculation as the "anti-reference"

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

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Optics, Photonics, and Digital Technologies for Multimedia Applications III

ISBN

978-1-62841-086-0

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

11

Strana od-do

"913807-1"-"913807-11"

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

Brussels

Datum konání akce

16. 4. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000338922900006