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A Study of Atmospheric Particles Removal in a Low Visibility Outdoor Single Image

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@article{IJASEIT1469,
   author = {Muhamad Lazim Bin Talib and Mohammad Faidzul Nasirudin and Siti Norul Huda Sheikh Abdullah},
   title = {A Study of Atmospheric Particles Removal in a Low Visibility Outdoor Single Image},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {6},
   number = {6},
   year = {2016},
   pages = {1081--1088},
   keywords = {atmospheric particles removal; single image; haze removal; fog removal; image enhancement.},
   abstract = {Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of camera in the outdoor for the purpose of navigation, monitoring, remote sensing and robotic movement sometimes may yield images that are interrupted by haze, fog, smoke, steam and water drops. Fog is the random movement of water drops in the air that normally exists in the early morning. This disorder causes a differential image observed experiences low contrast, obscure, and difficult to identify targets. Analysis of the interference image can restore damaged image as a result of obstacles from atmospheric particles or drops of water during image observation. Generally, images with atmospheric particles contain a homogeneous texture like brightness and a heterogeneous texture which is the object that exists in the atmosphere. Pre-processing method based on the dark channel prior statistical measure of contrast vision and prior knowledge, still produces good image quality but less effective to overcome Halo problem or ring light, and strong lighting. This study aims to propel the development of machine vision industry aimed at navigation or monitoring for ground transportation, air or sea.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1469},
   doi = {10.18517/ijaseit.6.6.1469}
}

EndNote

%A Bin Talib, Muhamad Lazim
%A Nasirudin, Mohammad Faidzul
%A Sheikh Abdullah, Siti Norul Huda
%D 2016
%T A Study of Atmospheric Particles Removal in a Low Visibility Outdoor Single Image
%B 2016
%9 atmospheric particles removal; single image; haze removal; fog removal; image enhancement.
%! A Study of Atmospheric Particles Removal in a Low Visibility Outdoor Single Image
%K atmospheric particles removal; single image; haze removal; fog removal; image enhancement.
%X Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of camera in the outdoor for the purpose of navigation, monitoring, remote sensing and robotic movement sometimes may yield images that are interrupted by haze, fog, smoke, steam and water drops. Fog is the random movement of water drops in the air that normally exists in the early morning. This disorder causes a differential image observed experiences low contrast, obscure, and difficult to identify targets. Analysis of the interference image can restore damaged image as a result of obstacles from atmospheric particles or drops of water during image observation. Generally, images with atmospheric particles contain a homogeneous texture like brightness and a heterogeneous texture which is the object that exists in the atmosphere. Pre-processing method based on the dark channel prior statistical measure of contrast vision and prior knowledge, still produces good image quality but less effective to overcome Halo problem or ring light, and strong lighting. This study aims to propel the development of machine vision industry aimed at navigation or monitoring for ground transportation, air or sea.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1469
%R doi:10.18517/ijaseit.6.6.1469
%J International Journal on Advanced Science, Engineering and Information Technology
%V 6
%N 6
%@ 2088-5334

IEEE

Muhamad Lazim Bin Talib,Mohammad Faidzul Nasirudin and Siti Norul Huda Sheikh Abdullah,"A Study of Atmospheric Particles Removal in a Low Visibility Outdoor Single Image," International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 6, pp. 1081-1088, 2016. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.6.6.1469.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Bin Talib, Muhamad Lazim
AU  - Nasirudin, Mohammad Faidzul
AU  - Sheikh Abdullah, Siti Norul Huda
PY  - 2016
TI  - A Study of Atmospheric Particles Removal in a Low Visibility Outdoor Single Image
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 6 (2016) No. 6
Y2  - 2016
SP  - 1081
EP  - 1088
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - atmospheric particles removal; single image; haze removal; fog removal; image enhancement.
N2  - Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of camera in the outdoor for the purpose of navigation, monitoring, remote sensing and robotic movement sometimes may yield images that are interrupted by haze, fog, smoke, steam and water drops. Fog is the random movement of water drops in the air that normally exists in the early morning. This disorder causes a differential image observed experiences low contrast, obscure, and difficult to identify targets. Analysis of the interference image can restore damaged image as a result of obstacles from atmospheric particles or drops of water during image observation. Generally, images with atmospheric particles contain a homogeneous texture like brightness and a heterogeneous texture which is the object that exists in the atmosphere. Pre-processing method based on the dark channel prior statistical measure of contrast vision and prior knowledge, still produces good image quality but less effective to overcome Halo problem or ring light, and strong lighting. This study aims to propel the development of machine vision industry aimed at navigation or monitoring for ground transportation, air or sea.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1469
DO  - 10.18517/ijaseit.6.6.1469

RefWorks

RT Journal Article
ID 1469
A1 Bin Talib, Muhamad Lazim
A1 Nasirudin, Mohammad Faidzul
A1 Sheikh Abdullah, Siti Norul Huda
T1 A Study of Atmospheric Particles Removal in a Low Visibility Outdoor Single Image
JF International Journal on Advanced Science, Engineering and Information Technology
VO 6
IS 6
YR 2016
SP 1081
OP 1088
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 atmospheric particles removal; single image; haze removal; fog removal; image enhancement.
AB Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of camera in the outdoor for the purpose of navigation, monitoring, remote sensing and robotic movement sometimes may yield images that are interrupted by haze, fog, smoke, steam and water drops. Fog is the random movement of water drops in the air that normally exists in the early morning. This disorder causes a differential image observed experiences low contrast, obscure, and difficult to identify targets. Analysis of the interference image can restore damaged image as a result of obstacles from atmospheric particles or drops of water during image observation. Generally, images with atmospheric particles contain a homogeneous texture like brightness and a heterogeneous texture which is the object that exists in the atmosphere. Pre-processing method based on the dark channel prior statistical measure of contrast vision and prior knowledge, still produces good image quality but less effective to overcome Halo problem or ring light, and strong lighting. This study aims to propel the development of machine vision industry aimed at navigation or monitoring for ground transportation, air or sea.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1469
DO  - 10.18517/ijaseit.6.6.1469