The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Vision in bad weather
Abstract
Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer vision systems must include mechanisms that enable them to function (even if somewhat less reliably) in the presence of haze, fog, rain, hail and snow. We begin by studying the visual manifestations of different weather conditions. For this, we draw on what is already known about atmospheric optics. Next, we identify effects caused by bad weather that can be turned to our advantage. Since the atmosphere modulates the information carried from a scene point to the observer it can be viewed as a mechanism of visual information coding. Based on this observation, we develop models and methods for recovering pertinent scene properties, such as three-dimensional structure, from images taken under poor weather conditions.
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Cites
Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen
Mie, G. (1908) · Annalen der Physik · doi:10.1002/andp.19083300302 · Cited by 11,537
Cited by
Single image haze removal using dark channel prior
He, K., Sun, J., & Tang, X. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.168 · Cited by 7,601
DehazeNet: An End-to-End System for Single Image Haze Removal
Cai, B., Xu, X., Jia, K., Qing, C., & Tao, D. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2598681 · Cited by 3,367
Fattal, R. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360671 · Cited by 2,114
Contrast restoration of weather degraded images
Narasimhan, S. G., & Nayar, S. K. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1201821 · Cited by 1,642
Self-citationColor balance and fusion for underwater image enhancement
Ancuti, C. O., Ancuti, C., De Vleeschouwer, C., & Bekaert, P. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2759252 · Cited by 1,357
Metadata
- Authors
- Nayar, S. K., & Narasimhan, S. G.
- Venue
- Proceedings of the Seventh IEEE International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 1999
- Pages
- 820-827 vol.2
- OpenAlex
- W2003709967
- Cited by
- 883
- References
- 1
- FWCI
- 5.08
- Type
- conference paper
- Language
- en
- Open access
- closed
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