The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Active Polarization Descattering
Abstract
Vision in scattering media is important but challenging. Images suffer from poor visibility due to backscattering and attenuation. Most prior methods for scene recovery use active illumination scanners (structured and gated), which can be slow and cumbersome, while natural illumination is inapplicable to dark environments. The current paper addresses the need for a non-scanning recovery method, that uses active scene irradiance. We study the formation of images under widefield artificial illumination. Based on the formation model, the paper presents an approach for recovering the object signal. It also yields rough information about the 3D scene structure. The approach can work with compact, simple hardware, having active widefield, polychromatic polarized illumination. The camera is fitted with a polarization analyzer. Two frames of the scene are taken, with different states of the analyzer or polarizer. A recovery algorithm follows the acquisition. It allows both the backscatter and the object reflection to be partially polarized. It thus unifies and generalizes prior polarization-based methods, which had assumed exclusive polarization of either of these components. The approach is limited to an effective range, due to image noise and illumination falloff. Thus, the limits and noise sensitivity are analyzed. We demonstrate the approach in underwater field experiments.
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Cites
Imaging skin pathology with polarized light
Jacques, S. L., Ramella-Roman, J. C., & Lee, K. (2002) · Journal of Biomedical Optics · doi:10.1117/1.1484498 · Cited by 582
Cited by
An Underwater Image Enhancement Benchmark Dataset and Beyond
Li, C., Guo, C., Ren, W., Cong, R., Hou, J., Kwong, S., & Tao, D. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2955241 · Cited by 2,373
Color 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
Silicon nanofin grating as a miniature chirality-distinguishing beam-splitter
Khorasaninejad, M., & Crozier, K. B. (2014) · Nature Communications · doi:10.1038/ncomms6386 · Cited by 317
Underwater vision enhancement technologies: a comprehensive review, challenges, and recent trends
Zhou, J., Yang, T., & Zhang, W. (2023) · Applied Intelligence · doi:10.1007/s10489-022-03767-y · Cited by 149
Metadata
- Authors
- Treibitz, T., & Schechner, Y. Y.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2009-03
- Volume
- 31
- Issue
- 3
- Pages
- 385-399
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2155586404
- Cited by
- 514
- References
- 1
- FWCI
- 6.41
- Type
- journal article
- Language
- en
- Open access
- closed
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