Perceptual Quality Assessment of Screen Content Images

Research on screen content images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present a study on perceptual quality assessment of distorted SCIs subjectively and objectively. We construct a large-scale screen image quality asse...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yang, Huan [verfasserIn] Fang, Yuming Lin, Weisi

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Image coding Databases Measurement Quality assessment subjective quality assessment Transform coding objective quality assessment Screen content image Visualization Image quality

Übergeordnetes Werk:	Enthalten in: IEEE transactions on image processing - New York, NY : Inst., 1992, 24(2015), 11, Seite 4408-4421
Übergeordnetes Werk:	volume:24 ; year:2015 ; number:11 ; pages:4408-4421

Links:	Volltext Link aufrufen Link aufrufen

DOI / URN:	10.1109/TIP.2015.2465145

Katalog-ID:	OLC1959241729

Internformat


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520			\|a Research on screen content images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present a study on perceptual quality assessment of distorted SCIs subjectively and objectively. We construct a large-scale screen image quality assessment database (SIQAD) consisting of 20 source and 980 distorted SCIs. In order to get the subjective quality scores and investigate, which part (text or picture) contributes more to the overall visual quality, the single stimulus methodology with 11 point numerical scale is employed to obtain three kinds of subjective scores corresponding to the entire, textual, and pictorial regions, respectively. According to the analysis of subjective data, we propose a weighting strategy to account for the correlation among these three kinds of subjective scores. Furthermore, we design an objective metric to measure the visual quality of distorted SCIs by considering the visual difference of textual and pictorial regions. The experimental results demonstrate that the proposed SCI perceptual quality assessment scheme, consisting of the objective metric and the weighting strategy, can achieve better performance than 11 state-of-the-art IQA methods. To the best of our knowledge, the SIQAD is the first large-scale database published for quality evaluation of SCIs, and this research is the first attempt to explore the perceptual quality assessment of distorted SCIs.
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topic_unstemmed	ddc 004 bkl 54.00 misc Image coding misc Databases misc Measurement misc Quality assessment misc subjective quality assessment misc Transform coding misc objective quality assessment misc Screen content image misc Visualization misc Image quality
topic_browse	ddc 004 bkl 54.00 misc Image coding misc Databases misc Measurement misc Quality assessment misc subjective quality assessment misc Transform coding misc objective quality assessment misc Screen content image misc Visualization misc Image quality
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title	Perceptual Quality Assessment of Screen Content Images
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title_full	Perceptual Quality Assessment of Screen Content Images
author_sort	Yang, Huan
journal	IEEE transactions on image processing
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author-letter	Yang, Huan
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title_sort	perceptual quality assessment of screen content images
title_auth	Perceptual Quality Assessment of Screen Content Images
abstract	Research on screen content images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present a study on perceptual quality assessment of distorted SCIs subjectively and objectively. We construct a large-scale screen image quality assessment database (SIQAD) consisting of 20 source and 980 distorted SCIs. In order to get the subjective quality scores and investigate, which part (text or picture) contributes more to the overall visual quality, the single stimulus methodology with 11 point numerical scale is employed to obtain three kinds of subjective scores corresponding to the entire, textual, and pictorial regions, respectively. According to the analysis of subjective data, we propose a weighting strategy to account for the correlation among these three kinds of subjective scores. Furthermore, we design an objective metric to measure the visual quality of distorted SCIs by considering the visual difference of textual and pictorial regions. The experimental results demonstrate that the proposed SCI perceptual quality assessment scheme, consisting of the objective metric and the weighting strategy, can achieve better performance than 11 state-of-the-art IQA methods. To the best of our knowledge, the SIQAD is the first large-scale database published for quality evaluation of SCIs, and this research is the first attempt to explore the perceptual quality assessment of distorted SCIs.
abstractGer	Research on screen content images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present a study on perceptual quality assessment of distorted SCIs subjectively and objectively. We construct a large-scale screen image quality assessment database (SIQAD) consisting of 20 source and 980 distorted SCIs. In order to get the subjective quality scores and investigate, which part (text or picture) contributes more to the overall visual quality, the single stimulus methodology with 11 point numerical scale is employed to obtain three kinds of subjective scores corresponding to the entire, textual, and pictorial regions, respectively. According to the analysis of subjective data, we propose a weighting strategy to account for the correlation among these three kinds of subjective scores. Furthermore, we design an objective metric to measure the visual quality of distorted SCIs by considering the visual difference of textual and pictorial regions. The experimental results demonstrate that the proposed SCI perceptual quality assessment scheme, consisting of the objective metric and the weighting strategy, can achieve better performance than 11 state-of-the-art IQA methods. To the best of our knowledge, the SIQAD is the first large-scale database published for quality evaluation of SCIs, and this research is the first attempt to explore the perceptual quality assessment of distorted SCIs.
abstract_unstemmed	Research on screen content images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present a study on perceptual quality assessment of distorted SCIs subjectively and objectively. We construct a large-scale screen image quality assessment database (SIQAD) consisting of 20 source and 980 distorted SCIs. In order to get the subjective quality scores and investigate, which part (text or picture) contributes more to the overall visual quality, the single stimulus methodology with 11 point numerical scale is employed to obtain three kinds of subjective scores corresponding to the entire, textual, and pictorial regions, respectively. According to the analysis of subjective data, we propose a weighting strategy to account for the correlation among these three kinds of subjective scores. Furthermore, we design an objective metric to measure the visual quality of distorted SCIs by considering the visual difference of textual and pictorial regions. The experimental results demonstrate that the proposed SCI perceptual quality assessment scheme, consisting of the objective metric and the weighting strategy, can achieve better performance than 11 state-of-the-art IQA methods. To the best of our knowledge, the SIQAD is the first large-scale database published for quality evaluation of SCIs, and this research is the first attempt to explore the perceptual quality assessment of distorted SCIs.
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title_short	Perceptual Quality Assessment of Screen Content Images
url	http://dx.doi.org/10.1109/TIP.2015.2465145 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7180347 http://www.ncbi.nlm.nih.gov/pubmed/26259078
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author2	Fang, Yuming Lin, Weisi
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doi_str	10.1109/TIP.2015.2465145
up_date	2024-07-03T16:26:17.877Z
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