Removal of adherent waterdrops from images acquired with stereo camera
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.
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Yamashita et al.'s stereo-vision algorithm successfully detected and removed raindrops and other adherent noise, both from near and far objects.
“Results of visual inspection showed that the algorithm successfully detected and removed raindrops and other adherent noise, both from near and far objects.”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [31]
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Removal of adherent noises from images of dynamic scenes by using a pan-tilt camera
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Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
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All in One Bad Weather Removal Using Architectural Search
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A Review of Detection and Removal of Raindrops in Automotive Vision Systems
Hamzeh, Y., & Rawashdeh, S. A. (2021) · Journal of Imaging · doi:10.3390/jimaging7030052 · Cited by 21 · see citing works
- Authors
- Yamashita, A., Tanaka, Y., & Kaneko, T.
- Affiliations
- Shizuoka University (JP)
- Venue
- 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Published
- 2005
- Pages
- 400-405
- ISSN
- 2153-0858 (ISSN-L)
- OpenAlex
- W1970863638
- Cited by
- 55
- References
- 17
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 10 · 2020: 10 · 2019: 7 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 4 · 2013: 1 · 2012: 2
- FWCI
- 1.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Stabilization
- Keywords
- stereo disparity, outdoor surveillance, stereo camera, disparity estimation
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