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Depth and Image Restoration from Light Field in a Scattering Medium
Tian JD(田建东); Murez, Zak; Cui T(崔童); Zhang Z(张箴); Kriegman, David; Ramamoorthi, Ravi
Department机器人学研究室
Conference Name2017 IEEE International Conference on Computer Vision (ICCV)
Conference DateOctober 22-29, 2017
Conference PlaceVenice, Italy
Source Publication2017 IEEE International Conference on Computer Vision (ICCV)
PublisherIEEE
Publication PlaceNew York
2017
Pages2420-2429
Indexed ByEI ; CPCI(ISTP)
EI Accession number20180704803965
WOS IDWOS:000425498402051
Contribution Rank1
ISSN2380-7504
ISBN978-1-5386-1032-9
AbstractTraditional imaging methods and computer vision algorithms are often ineffective when images are acquired in scattering media, such as underwater, fog, and biological tissue. Here, we explore the use of light field imaging and algorithms for image restoration and depth estimation that address the image degradation from the medium. Towards this end, we make the following three contributions. First, we present a new single image restoration algorithm which removes backscatter and attenuation from images better than existing methods do, and apply it to each view in the light field. Second, we combine a novel transmission based depth cue with existing correspondence and defocus cues to improve light field depth estimation. In densely scattering media, our transmission depth cue is critical for depth estimation since the images have low signal to noise ratios which significantly degrades the performance of the correspondence and defocus cues. Finally, we propose shearing and refocusing multiple views of the light field to recover a single image of higher quality than what is possible from a single view. We demonstrate the benefits of our method through extensive experimental results in a water tank.
Language英语
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/21345
Collection机器人学研究室
Corresponding AuthorTian JD(田建东)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
2.Department of Computer Science and Engineering, University of California, San Diego, United States
3.University of Chinese Academy of Sciences, China
Recommended Citation
GB/T 7714
Tian JD,Murez, Zak,Cui T,et al. Depth and Image Restoration from Light Field in a Scattering Medium[C]. New York:IEEE,2017:2420-2429.
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