The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Polarization-based vision through haze
Abstract
We present an approach for easily removing the effects of haze from passively acquired images. Our approach is based on the fact that usually the natural illuminating light scattered by atmospheric particles (airlight) is partially polarized. Optical filtering alone cannot remove the haze effects, except in restricted situations. Our method, however, stems from physics-based analysis that works under a wide range of atmospheric and viewing conditions, even if the polarization is low. The approach does not rely on specific scattering models such as Rayleigh scattering and does not rely on the knowledge of illumination directions. It can be used with as few as two images taken through a polarizer at different orientations. As a byproduct, the method yields a range map of the scene, which enables scene rendering as if imaged from different viewpoints. It also yields information about the atmospheric particles. We present experimental results of complete dehazing of outdoor scenes, in far-from-ideal conditions for polarization filtering. We obtain a great improvement of scene contrast and correction of color.
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Cites
Nayar, S. K., & Narasimhan, S. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790306 · Cited by 883
Self-citationInstant dehazing of images using polarization
Schechner, Y. Y., Narasimhan, S. G., & Nayar, S. K. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990493 · Cited by 859
Self-citationChromatic framework for vision in bad weather
Narasimhan, S. G., & Nayar, S. K. (2002) · Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) · doi:10.1109/cvpr.2000.855874 · Cited by 786
Self-citationOptics of the atmosphere: Scattering by molecules and particles
McCartney, E. J. (1976) · Cited by 633
Principles of Digital Image Synthesis
(1995) · Elsevier eBooks · doi:10.1016/c2009-0-27624-0 · Cited by 589
Oakley, J. P., & Satherley, B. L. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.660994 · Cited by 347
Target detection in optically scattering media by polarization-difference imaging
Tyo, J. S., Rowe, M. P., Pugh, E. N., & Engheta, N. (1996) · Applied Optics · doi:10.1364/ao.35.001855 · Cited by 291
Polarization vision: a new sensory approach to image understanding
Wolff, L. B. (1997) · Image and Vision Computing · doi:10.1016/s0262-8856(96)01123-7 · Cited by 228
Removing weather effects from monochrome images
Narasimhan, S. G., & Nayar, S. K. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990956 · Cited by 201
Self-citationLight backscattering polarization patterns from turbid media: theory and experiment
Raković, M. J., Kattawar, G. W., Mehrűbeoğlu, M., Cameron, B. D., Wang, L. V., Rastegar, S., & Coté, G. L. (1999) · Applied Optics · doi:10.1364/ao.38.003399 · Cited by 198
Cited by
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-citationRecovery of Underwater Visibility and Structure by Polarization Analysis
Schechner, Y. Y., & Karpel, N. (2005) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2005.850871 · Cited by 688
Self-citationNH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images
Ancuti, C. O., Ancuti, C., & Timofte, R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00230 · Cited by 517
Metadata
- Authors
- Schechner, Y. Y., Narasimhan, S. G., & Nayar, S. K.
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- Published
- 2003-01-20
- Volume
- 42
- Issue
- 3
- Pages
- 511
- ISSN
- 0003-6935 (ISSN-L)
- 1539-4522
- OpenAlex
- W1998363013
- Cited by
- 687
- References
- 16
- FWCI
- 6.19
- Type
- journal article
- Language
- en
- Open access
- closed
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