Performance comparison of perceived image color difference measures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00326209" target="_blank" >RIV/68407700:21230/18:00326209 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1117/12.2321644" target="_blank" >https://doi.org/10.1117/12.2321644</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2321644" target="_blank" >10.1117/12.2321644</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Performance comparison of perceived image color difference measures

Popis výsledku v původním jazyce

This paper deals with techniques for analysis of perceived color differences in images. Impact of color artifacts in image processing chain is a critical factor in the assessment of overall Quality of Experience (QoE). At first, an overview of color difference measures is presented. The performance of the methods is compared based on the results from subjective studies. Possible utilization of publicly available datasets with associated subjective scores is discussed. Majority of the datasets contain images distorted by various types of distortions not necessarily with controlled color impairments. Dedicated database of images with common color distortions and associated subjective scores is introduced. Performance evaluation and comparison of objective image color difference measures is presented using conventional correlation performance measures and robust receiver operating characteristic (ROC) based analyses.

Název v anglickém jazyce

Performance comparison of perceived image color difference measures

Popis výsledku anglicky

This paper deals with techniques for analysis of perceived color differences in images. Impact of color artifacts in image processing chain is a critical factor in the assessment of overall Quality of Experience (QoE). At first, an overview of color difference measures is presented. The performance of the methods is compared based on the results from subjective studies. Possible utilization of publicly available datasets with associated subjective scores is discussed. Majority of the datasets contain images distorted by various types of distortions not necessarily with controlled color impairments. Dedicated database of images with common color distortions and associated subjective scores is introduced. Performance evaluation and comparison of objective image color difference measures is presented using conventional correlation performance measures and robust receiver operating characteristic (ROC) based analyses.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/GA17-05840S" target="_blank" >GA17-05840S: Multikriteriální optimalizace modelů prostorově variantních zobrazovacích systémů</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings Volume 10752 - Applications of Digital Image Processing XLI

ISBN

9781510620759

ISSN

0277-786X

e-ISSN

1996-756X

Počet stran výsledku

18

Strana od-do

—

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

San Diego

Datum konání akce

19. 8. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000450861700095