In this paper, we propose a new method that can remove view-disturbing noises from stereo images. One of the thorny problems in outdoor surveillance by a camera is that adherent noises such as waterdrops on the protecting glass surface lens disturb the view from the camera. Therefore, we propose a method for removing adherent noises from stereo images taken with a stereo camera system. Our method is based on the stereo measurement and utilizes disparities between stereo image pair. Positions of noises in images can be detected by comparing disparities measured from stereo images with the distance between the stereo camera system and the glass surface. True disparities of image regions hidden by noises can be estimated from the property that disparities are generally similar with those around noises. Finally, we can remove noises from images by replacing the above regions with textures of corresponding image regions obtained by the disparity referring. Experimental results show the effectiveness of the proposed method.
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Yuu TANAKA, Atsushi YAMASHITA, Toru KANEKO, Kenjiro T. MIURA, "Removal of Adherent Waterdrops from Images Acquired with a Stereo Camera System" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 7, pp. 2021-2027, July 2006, doi: 10.1093/ietisy/e89-d.7.2021.
Abstract: In this paper, we propose a new method that can remove view-disturbing noises from stereo images. One of the thorny problems in outdoor surveillance by a camera is that adherent noises such as waterdrops on the protecting glass surface lens disturb the view from the camera. Therefore, we propose a method for removing adherent noises from stereo images taken with a stereo camera system. Our method is based on the stereo measurement and utilizes disparities between stereo image pair. Positions of noises in images can be detected by comparing disparities measured from stereo images with the distance between the stereo camera system and the glass surface. True disparities of image regions hidden by noises can be estimated from the property that disparities are generally similar with those around noises. Finally, we can remove noises from images by replacing the above regions with textures of corresponding image regions obtained by the disparity referring. Experimental results show the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.7.2021/_p
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@ARTICLE{e89-d_7_2021,
author={Yuu TANAKA, Atsushi YAMASHITA, Toru KANEKO, Kenjiro T. MIURA, },
journal={IEICE TRANSACTIONS on Information},
title={Removal of Adherent Waterdrops from Images Acquired with a Stereo Camera System},
year={2006},
volume={E89-D},
number={7},
pages={2021-2027},
abstract={In this paper, we propose a new method that can remove view-disturbing noises from stereo images. One of the thorny problems in outdoor surveillance by a camera is that adherent noises such as waterdrops on the protecting glass surface lens disturb the view from the camera. Therefore, we propose a method for removing adherent noises from stereo images taken with a stereo camera system. Our method is based on the stereo measurement and utilizes disparities between stereo image pair. Positions of noises in images can be detected by comparing disparities measured from stereo images with the distance between the stereo camera system and the glass surface. True disparities of image regions hidden by noises can be estimated from the property that disparities are generally similar with those around noises. Finally, we can remove noises from images by replacing the above regions with textures of corresponding image regions obtained by the disparity referring. Experimental results show the effectiveness of the proposed method.},
keywords={},
doi={10.1093/ietisy/e89-d.7.2021},
ISSN={1745-1361},
month={July},}
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TY - JOUR
TI - Removal of Adherent Waterdrops from Images Acquired with a Stereo Camera System
T2 - IEICE TRANSACTIONS on Information
SP - 2021
EP - 2027
AU - Yuu TANAKA
AU - Atsushi YAMASHITA
AU - Toru KANEKO
AU - Kenjiro T. MIURA
PY - 2006
DO - 10.1093/ietisy/e89-d.7.2021
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2006
AB - In this paper, we propose a new method that can remove view-disturbing noises from stereo images. One of the thorny problems in outdoor surveillance by a camera is that adherent noises such as waterdrops on the protecting glass surface lens disturb the view from the camera. Therefore, we propose a method for removing adherent noises from stereo images taken with a stereo camera system. Our method is based on the stereo measurement and utilizes disparities between stereo image pair. Positions of noises in images can be detected by comparing disparities measured from stereo images with the distance between the stereo camera system and the glass surface. True disparities of image regions hidden by noises can be estimated from the property that disparities are generally similar with those around noises. Finally, we can remove noises from images by replacing the above regions with textures of corresponding image regions obtained by the disparity referring. Experimental results show the effectiveness of the proposed method.
ER -