A virtual wiper - restoration of deteriorated images by using multiple cameras
Abstract
In this paper, we propose a new method for the restoration of deteriorated images by using multiple cameras. 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. Our proposed method analyses multiple camera images describing the same scene, and synthesizes an image in which adherent noises are eliminated.
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Yamashita et al.'s multiple fixed-camera system performance was superior to both inpainting and simple majority approaches.
“The system performance was evaluated against other popular image restoration techniques and found to be superior to both inpainting and simple majority approaches.”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [28]
The multiple fixed-camera system's assumption that the raindrop-occluded section of an image would be clear in an image taken by another camera is not always true, especially under medium-high rain intensities.
“This is not always true, especially under medium-high rain intensities.”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [28]
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Video-based raindrop detection for improved image registration
Roser, M., & Geiger, A. (2009) · 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops · doi:10.1109/iccvw.2009.5457650 · Cited by 126 · see citing works
Removal of adherent waterdrops from images acquired with stereo camera
Yamashita, A., Tanaka, Y., & Kaneko, T. (2005) · 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2005.1545103 · Cited by 55 · see citing works
Self-citationDetecting unfocused raindrops: In-vehicle multipurpose cameras
Cord, A., & Gimonet, N. (2014) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2013.2287451 · Cited by 35 · see citing works
Raindrop detection and removal using salient visual features
Wu, Q., Zhang, W., & Vijaya Kumar, B. V. K. (2012) · 2012 19th IEEE International Conference on Image Processing · doi:10.1109/icip.2012.6467016 · Cited by 27 · see citing works
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
“Adherent raindrops are not likely to cover the same areas of an image using different cameras [28].”
BackgroundInfluentialRemoval of adherent noises from image sequences by spatio-temporal image processing
Yamashita, A., Fukuchi, I., Kaneko, T., & Miura, K. T. (2008) · 2008 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2008.4543570 · Cited by 21 · see citing works
Self-citation
- Authors
- Yamashita, A., Kuramoto, M., Kaneko, T., & Miura, K. T.
- Affiliations
- Shizuoka University (JP)
- Venue
- Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)
- Publisher
- IEEE
- Published
- 2004-03-30
- Volume
- 3
- Pages
- 3126-3131
- ISSN
- 2153-0858 (ISSN-L)
- OpenAlex
- W2103888133
- Cited by
- 32
- References
- 0
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 1 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 2 · 2017: 1 · 2015: 2 · 2014: 1 · 2012: 3
- FWCI
- 1.49
- 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 › Image Enhancement Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image Processing Techniques
- Keywords
- image restoration, multiple cameras, image generation, outdoor scenes, degraded images
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