صورة الغلاف

Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF)

When light travels through a water medium, selective attenuation and scattering have a profound impact on the underwater image. These limitations reduce image quality and impede the ability to perform visual tasks. The suggested integrated color correction with intelligence fusion of particle swarm...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Syafiq Qhushairy, Syamsul Amri, Ahmad Shahrizan, Abdul Ghani, Mohd Aiman Syahmi, Kamarul Baharin, Mohd Yazid, Abu, Fusaomi, Nagata
التنسيق: مقال
اللغة:English
منشور في: Penerbit UMP 2023
الموضوعات:
TJ Mechanical engineering and machinery
TS Manufactures
الوصول للمادة أونلاين:http://umpir.ump.edu.my/id/eprint/37981/1/Improving%20Images%20in%20Turbid%20Water%20through%20Enhanced%20Color%20Correction.pdf
http://umpir.ump.edu.my/id/eprint/37981/
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id my.ump.umpir.37981
record_format eprints
spelling my.ump.umpir.379812023-07-10T03:15:27Z http://umpir.ump.edu.my/id/eprint/37981/ Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF) Syafiq Qhushairy, Syamsul Amri Ahmad Shahrizan, Abdul Ghani Mohd Aiman Syahmi, Kamarul Baharin Mohd Yazid, Abu Fusaomi, Nagata TJ Mechanical engineering and machinery TS Manufactures When light travels through a water medium, selective attenuation and scattering have a profound impact on the underwater image. These limitations reduce image quality and impede the ability to perform visual tasks. The suggested integrated color correction with intelligence fusion of particle swarm technique (CCPF) is designed with four phases. The first phase presents a novel way to make improvement on underwater color cast. Limit the improvement to only red color channel. In the second phase, an image is then neutralized from the original image by brightness reconstruction technique resulting in enhancing the image contrast. Next, the mean adjustment based on particle swarm intelligence is implemented to improve the image detail. With the swarm intelligence method, the mean values of inferior color channels are shifted to be close to the mean value of a good color channel. Lastly, a fusion between the brightness reconstructed histogram and modified mean particle swarm intelligence histogram is applied to balance the image color. Analysis of underwater images taken in different depths shows that the proposed CCPF method improves the quality of the output image in terms of neutralizing effectiveness and details accuracy, consequently, significantly outperforming the other state-of-the-art methods. The proposed CCPF approach produces highest average entropy value of 7.823 and average UIQM value of 6.287. Penerbit UMP 2023-03 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/37981/1/Improving%20Images%20in%20Turbid%20Water%20through%20Enhanced%20Color%20Correction.pdf Syafiq Qhushairy, Syamsul Amri and Ahmad Shahrizan, Abdul Ghani and Mohd Aiman Syahmi, Kamarul Baharin and Mohd Yazid, Abu and Fusaomi, Nagata (2023) Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF). Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 5 (1). pp. 18-35. ISSN 2637-0883. (Published) ttps://doi.org/10.15282/mekatronika.v5i1.9085 ttps://doi.org/10.15282/mekatronika.v5i1.9085
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Syafiq Qhushairy, Syamsul Amri
Ahmad Shahrizan, Abdul Ghani
Mohd Aiman Syahmi, Kamarul Baharin
Mohd Yazid, Abu
Fusaomi, Nagata
Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF)
description When light travels through a water medium, selective attenuation and scattering have a profound impact on the underwater image. These limitations reduce image quality and impede the ability to perform visual tasks. The suggested integrated color correction with intelligence fusion of particle swarm technique (CCPF) is designed with four phases. The first phase presents a novel way to make improvement on underwater color cast. Limit the improvement to only red color channel. In the second phase, an image is then neutralized from the original image by brightness reconstruction technique resulting in enhancing the image contrast. Next, the mean adjustment based on particle swarm intelligence is implemented to improve the image detail. With the swarm intelligence method, the mean values of inferior color channels are shifted to be close to the mean value of a good color channel. Lastly, a fusion between the brightness reconstructed histogram and modified mean particle swarm intelligence histogram is applied to balance the image color. Analysis of underwater images taken in different depths shows that the proposed CCPF method improves the quality of the output image in terms of neutralizing effectiveness and details accuracy, consequently, significantly outperforming the other state-of-the-art methods. The proposed CCPF approach produces highest average entropy value of 7.823 and average UIQM value of 6.287.
format Article
author Syafiq Qhushairy, Syamsul Amri
Ahmad Shahrizan, Abdul Ghani
Mohd Aiman Syahmi, Kamarul Baharin
Mohd Yazid, Abu
Fusaomi, Nagata
author_facet Syafiq Qhushairy, Syamsul Amri
Ahmad Shahrizan, Abdul Ghani
Mohd Aiman Syahmi, Kamarul Baharin
Mohd Yazid, Abu
Fusaomi, Nagata
author_sort Syafiq Qhushairy, Syamsul Amri
title Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF)
title_short Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF)
title_full Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF)
title_fullStr Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF)
title_full_unstemmed Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF)
title_sort improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (ccpf)
publisher Penerbit UMP
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/37981/1/Improving%20Images%20in%20Turbid%20Water%20through%20Enhanced%20Color%20Correction.pdf
http://umpir.ump.edu.my/id/eprint/37981/
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score 13.250246

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