Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality

The main purpose of this paper is the study of the correlations between Image Aesthetic (IA) and Image Naturalness (IN) and the analysis of the influence of IA and IN on Image Quality (IQ) in different contexts. The first contribution is a study about the potential relationships between IA and IN. F...

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Main Authors: Quyet-Tien Le, Patricia Ladret, Huu-Tuan Nguyen, Alice Caplier
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/8/6/166
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author Quyet-Tien Le
Patricia Ladret
Huu-Tuan Nguyen
Alice Caplier
author_facet Quyet-Tien Le
Patricia Ladret
Huu-Tuan Nguyen
Alice Caplier
author_sort Quyet-Tien Le
collection DOAJ
description The main purpose of this paper is the study of the correlations between Image Aesthetic (IA) and Image Naturalness (IN) and the analysis of the influence of IA and IN on Image Quality (IQ) in different contexts. The first contribution is a study about the potential relationships between IA and IN. For that study, two sub-questions are considered. The first one is to validate the idea that IA and IN are not correlated to each other. The second one is about the influence of IA and IN features on Image Naturalness Assessment (INA) and Image Aesthetic Assessment (IAA), respectively. Secondly, it is obvious that IQ is related to IA and IN, but the exact influence of IA and IN on IQ has not been evaluated. Besides that, the context impact on those influences has not been clarified, so the second contribution is to investigate the influence of IA and IN on IQ in different contexts. The results obtained from rigorous experiments prove that although there are moderate and weak correlations between IA and IN, they are still two different components of IQ. It also appears that viewers’ IQ perception is affected by some contextual factors, and the influence of IA and IN on IQ depends on the considered context.
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spelling doaj.art-1a56ba1d755740a3b647e0a643559c432023-11-23T17:20:36ZengMDPI AGJournal of Imaging2313-433X2022-06-018616610.3390/jimaging8060166Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image QualityQuyet-Tien Le0Patricia Ladret1Huu-Tuan Nguyen2Alice Caplier3Faculty of Information Technology, Vietnam Maritime University, 484 Lach Tray, Le Chan, Hai Phong 04000, VietnamGIPSA Lab, Grenoble Alpes University, 11 Rue des Mathematiques, Grenoble Campus BP 46, CEDEX, F-38402 Saint Martin d’Heres, FranceFaculty of Information Technology, Vietnam Maritime University, 484 Lach Tray, Le Chan, Hai Phong 04000, VietnamGIPSA Lab, Grenoble Alpes University, 11 Rue des Mathematiques, Grenoble Campus BP 46, CEDEX, F-38402 Saint Martin d’Heres, FranceThe main purpose of this paper is the study of the correlations between Image Aesthetic (IA) and Image Naturalness (IN) and the analysis of the influence of IA and IN on Image Quality (IQ) in different contexts. The first contribution is a study about the potential relationships between IA and IN. For that study, two sub-questions are considered. The first one is to validate the idea that IA and IN are not correlated to each other. The second one is about the influence of IA and IN features on Image Naturalness Assessment (INA) and Image Aesthetic Assessment (IAA), respectively. Secondly, it is obvious that IQ is related to IA and IN, but the exact influence of IA and IN on IQ has not been evaluated. Besides that, the context impact on those influences has not been clarified, so the second contribution is to investigate the influence of IA and IN on IQ in different contexts. The results obtained from rigorous experiments prove that although there are moderate and weak correlations between IA and IN, they are still two different components of IQ. It also appears that viewers’ IQ perception is affected by some contextual factors, and the influence of IA and IN on IQ depends on the considered context.https://www.mdpi.com/2313-433X/8/6/166image qualityimage aestheticimage naturalnesshuman visual perceptionimage quality assessmentimage aesthetic assessment
spellingShingle Quyet-Tien Le
Patricia Ladret
Huu-Tuan Nguyen
Alice Caplier
Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality
Journal of Imaging
image quality
image aesthetic
image naturalness
human visual perception
image quality assessment
image aesthetic assessment
title Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality
title_full Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality
title_fullStr Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality
title_full_unstemmed Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality
title_short Computational Analysis of Correlations between Image Aesthetic and Image Naturalness in the Relation with Image Quality
title_sort computational analysis of correlations between image aesthetic and image naturalness in the relation with image quality
topic image quality
image aesthetic
image naturalness
human visual perception
image quality assessment
image aesthetic assessment
url https://www.mdpi.com/2313-433X/8/6/166
work_keys_str_mv AT quyettienle computationalanalysisofcorrelationsbetweenimageaestheticandimagenaturalnessintherelationwithimagequality
AT patricialadret computationalanalysisofcorrelationsbetweenimageaestheticandimagenaturalnessintherelationwithimagequality
AT huutuannguyen computationalanalysisofcorrelationsbetweenimageaestheticandimagenaturalnessintherelationwithimagequality
AT alicecaplier computationalanalysisofcorrelationsbetweenimageaestheticandimagenaturalnessintherelationwithimagequality