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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MDPI AG
2022-06-01
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Series: | Journal of Imaging |
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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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id | doaj.art-1a56ba1d755740a3b647e0a643559c43 |
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issn | 2313-433X |
language | English |
last_indexed | 2024-03-09T23:24:08Z |
publishDate | 2022-06-01 |
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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 |