A study of atmospheric particles removal in a low visibility outdoor single image

Muhamad Lazim Bin Talib, Mohammad Faidzul Nasirudin, Siti Norul Huda Sheikh Abdullah

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of a 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. A 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.

Original languageEnglish
Pages (from-to)1081-1088
Number of pages8
JournalInternational Journal on Advanced Science, Engineering and Information Technology
Volume6
Issue number6
DOIs
Publication statusPublished - 2016

Fingerprint

Weather
Lighting
fogs (materials)
Visibility
Air
Fog
Water Movements
lighting
Water
Steam
Navigation
Robotics
Textures
texture
sea transportation
Atmosphere
Smoke
Oceans and Seas
air transportation
Industry

Keywords

  • Atmospheric particles removal
  • Fog removal
  • Haze removal
  • Image enhancement
  • Single image

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Computer Science(all)
  • Engineering(all)

Cite this

A study of atmospheric particles removal in a low visibility outdoor single image. / Talib, Muhamad Lazim Bin; Nasirudin, Mohammad Faidzul; Sheikh Abdullah, Siti Norul Huda.

In: International Journal on Advanced Science, Engineering and Information Technology, Vol. 6, No. 6, 2016, p. 1081-1088.

Research output: Contribution to journalArticle

@article{e6b50e4595a94778b1cfbd9ec3fa68b2,
title = "A study of atmospheric particles removal in a low visibility outdoor single image",
abstract = "Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of a 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. A 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.",
keywords = "Atmospheric particles removal, Fog removal, Haze removal, Image enhancement, Single image",
author = "Talib, {Muhamad Lazim Bin} and Nasirudin, {Mohammad Faidzul} and {Sheikh Abdullah}, {Siti Norul Huda}",
year = "2016",
doi = "10.18517/ijaseit.6.6.1469",
language = "English",
volume = "6",
pages = "1081--1088",
journal = "International Journal on Advanced Science, Engineering and Information Technology",
issn = "2088-5334",
publisher = "INSIGHT - Indonesian Society for Knowledge and Human Development",
number = "6",

}

TY - JOUR

T1 - A study of atmospheric particles removal in a low visibility outdoor single image

AU - Talib, Muhamad Lazim Bin

AU - Nasirudin, Mohammad Faidzul

AU - Sheikh Abdullah, Siti Norul Huda

PY - 2016

Y1 - 2016

N2 - Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of a 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. A 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.

AB - Maximum limit of human visibility without the assistance of equipment is 1000 m based on International Commission on Illumination. The use of a 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. A 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.

KW - Atmospheric particles removal

KW - Fog removal

KW - Haze removal

KW - Image enhancement

KW - Single image

UR - http://www.scopus.com/inward/record.url?scp=85010190106&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010190106&partnerID=8YFLogxK

U2 - 10.18517/ijaseit.6.6.1469

DO - 10.18517/ijaseit.6.6.1469

M3 - Article

VL - 6

SP - 1081

EP - 1088

JO - International Journal on Advanced Science, Engineering and Information Technology

JF - International Journal on Advanced Science, Engineering and Information Technology

SN - 2088-5334

IS - 6

ER -