A review on detection and removal of raindrop using cameras

In this paper, a review for method applied for restoration of deteriorated images by using multiple cameras, and stereo video are presented. In outdoor environment, it is often the case that scenes taken by the cameras are hard to see because of adherent noises on the surface of the lens-protecting...

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Main Authors: Shariah, Sawsan Kamel, Marhaban, Mohammad Hamiruce, Ramli, Abdul Rahman, Mohd Noor, Samsul Bahari
Format: Conference or Workshop Item
Language:English
Published: 2005
Online Access:http://psasir.upm.edu.my/id/eprint/39002/1/39002.pdf
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author Shariah, Sawsan Kamel
Marhaban, Mohammad Hamiruce
Ramli, Abdul Rahman
Mohd Noor, Samsul Bahari
author_facet Shariah, Sawsan Kamel
Marhaban, Mohammad Hamiruce
Ramli, Abdul Rahman
Mohd Noor, Samsul Bahari
author_sort Shariah, Sawsan Kamel
collection UPM
description In this paper, a review for method applied for restoration of deteriorated images by using multiple cameras, and stereo video are presented. In outdoor environment, it is often the case that scenes taken by the cameras are hard to see because of adherent noises on the surface of the lens-protecting glass of the cameras. The visual effects of rain are complex. Rain consists of spatially distributed drops falling at high velocities. Each drop refracts and reflects the environment, producing sharp intensity changes in an image. A group of such falling drops creates a complex time varying signal in images and videos. In addition, due to the finite exposure time of the camera, intensities due to rain are motion blurred and hence depend on the background intensities. The techniques described in this paper can be used in a wide range of applications including Robot Vision, video surveillance, vision based navigation, video/movie editing and video indexing/retrieval.
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spelling upm.eprints-390022018-03-30T03:14:35Z http://psasir.upm.edu.my/id/eprint/39002/ A review on detection and removal of raindrop using cameras Shariah, Sawsan Kamel Marhaban, Mohammad Hamiruce Ramli, Abdul Rahman Mohd Noor, Samsul Bahari In this paper, a review for method applied for restoration of deteriorated images by using multiple cameras, and stereo video are presented. In outdoor environment, it is often the case that scenes taken by the cameras are hard to see because of adherent noises on the surface of the lens-protecting glass of the cameras. The visual effects of rain are complex. Rain consists of spatially distributed drops falling at high velocities. Each drop refracts and reflects the environment, producing sharp intensity changes in an image. A group of such falling drops creates a complex time varying signal in images and videos. In addition, due to the finite exposure time of the camera, intensities due to rain are motion blurred and hence depend on the background intensities. The techniques described in this paper can be used in a wide range of applications including Robot Vision, video surveillance, vision based navigation, video/movie editing and video indexing/retrieval. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39002/1/39002.pdf Shariah, Sawsan Kamel and Marhaban, Mohammad Hamiruce and Ramli, Abdul Rahman and Mohd Noor, Samsul Bahari (2005) A review on detection and removal of raindrop using cameras. In: International Advanced Technology Congress: Conference on Intelligent Systems and Robotics, 6-8 Dec. 2005, Putrajaya, Malaysia. .
spellingShingle Shariah, Sawsan Kamel
Marhaban, Mohammad Hamiruce
Ramli, Abdul Rahman
Mohd Noor, Samsul Bahari
A review on detection and removal of raindrop using cameras
title A review on detection and removal of raindrop using cameras
title_full A review on detection and removal of raindrop using cameras
title_fullStr A review on detection and removal of raindrop using cameras
title_full_unstemmed A review on detection and removal of raindrop using cameras
title_short A review on detection and removal of raindrop using cameras
title_sort review on detection and removal of raindrop using cameras
url http://psasir.upm.edu.my/id/eprint/39002/1/39002.pdf
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