Adaptive colour restoration and detail retention for image enhancement

Abstract Computer vision‐based crowd understanding and analysis technology has been widely used in public safety due to the rapid growth of population and the frequent occurrence of various accidents. Improving imaging quality is the key to improve the performance of crowd analysis, density estimati...

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Autores principales:	Kangjian He, Dapeng Tao, Dan Xu
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Photography TR1-1050 Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/8ee9b2544ee248ca83137d2cb41980d5
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id	oai:doaj.org-article:8ee9b2544ee248ca83137d2cb41980d5
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spelling	oai:doaj.org-article:8ee9b2544ee248ca83137d2cb41980d52021-11-29T03:38:16ZAdaptive colour restoration and detail retention for image enhancement1751-96671751-965910.1049/ipr2.12223https://doaj.org/article/8ee9b2544ee248ca83137d2cb41980d52021-12-01T00:00:00Zhttps://doi.org/10.1049/ipr2.12223https://doaj.org/toc/1751-9659https://doaj.org/toc/1751-9667Abstract Computer vision‐based crowd understanding and analysis technology has been widely used in public safety due to the rapid growth of population and the frequent occurrence of various accidents. Improving imaging quality is the key to improve the performance of crowd analysis, density estimation, target recognition, segmentation, and detection in computer vision tasks. Due to the complex imaging environment such as fog and low illumination, some images taken in outdoor environment often have the problems of colour distortion, lack of details, and the poor imaging quality, which affect the subsequent visual tasks. To improve the imaging quality and visual effect, an adaptive colour restoration and detail retention‐based method is proposed for image enhancement. First, to overcome the problem of colour distortion caused by low illumination and fog, a multi‐channel fusion based adaptive image colour restoration method is proposed. To make the enhancement result more consistent with human observation, the detail retention‐based method is applied to enhance the details. Experimental results demonstrate that the authors' results are effective and outperform the compared methods both in visual and objective evaluations.Kangjian HeDapeng TaoDan XuWileyarticlePhotographyTR1-1050Computer softwareQA76.75-76.765ENIET Image Processing, Vol 15, Iss 14, Pp 3685-3697 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Photography TR1-1050 Computer software QA76.75-76.765
spellingShingle	Photography TR1-1050 Computer software QA76.75-76.765 Kangjian He Dapeng Tao Dan Xu Adaptive colour restoration and detail retention for image enhancement
description	Abstract Computer vision‐based crowd understanding and analysis technology has been widely used in public safety due to the rapid growth of population and the frequent occurrence of various accidents. Improving imaging quality is the key to improve the performance of crowd analysis, density estimation, target recognition, segmentation, and detection in computer vision tasks. Due to the complex imaging environment such as fog and low illumination, some images taken in outdoor environment often have the problems of colour distortion, lack of details, and the poor imaging quality, which affect the subsequent visual tasks. To improve the imaging quality and visual effect, an adaptive colour restoration and detail retention‐based method is proposed for image enhancement. First, to overcome the problem of colour distortion caused by low illumination and fog, a multi‐channel fusion based adaptive image colour restoration method is proposed. To make the enhancement result more consistent with human observation, the detail retention‐based method is applied to enhance the details. Experimental results demonstrate that the authors' results are effective and outperform the compared methods both in visual and objective evaluations.
format	article
author	Kangjian He Dapeng Tao Dan Xu
author_facet	Kangjian He Dapeng Tao Dan Xu
author_sort	Kangjian He
title	Adaptive colour restoration and detail retention for image enhancement
title_short	Adaptive colour restoration and detail retention for image enhancement
title_full	Adaptive colour restoration and detail retention for image enhancement
title_fullStr	Adaptive colour restoration and detail retention for image enhancement
title_full_unstemmed	Adaptive colour restoration and detail retention for image enhancement
title_sort	adaptive colour restoration and detail retention for image enhancement
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/8ee9b2544ee248ca83137d2cb41980d5
work_keys_str_mv	AT kangjianhe adaptivecolourrestorationanddetailretentionforimageenhancement AT dapengtao adaptivecolourrestorationanddetailretentionforimageenhancement AT danxu adaptivecolourrestorationanddetailretentionforimageenhancement
_version_	1718407658400120832

Adaptive colour restoration and detail retention for image enhancement

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