DocumentCode :
154139
Title :
STELLA MARIS: Stellar marine refractive imaging sensor
Author :
Alterman, M. ; Swirski, Y. ; Schechner, Y.Y.
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
fYear :
2014
fDate :
2-4 May 2014
Firstpage :
1
Lastpage :
10
Abstract :
Viewing an airborne scene from a submerged camera creates a virtual periscope, avoiding the saliency of a real maritime periscope. Random waves in the water-air interface severely distort the view, by refraction. We show a way to handle this. The distortion can be significantly countered, based on an estimate of the wavy water interface, at the instant of imaging. We obtain the interface estimate per frame, by a submerged sensor that simultaneously images the refracted Sun through an array of submerged pinholes. Our use of a stellar cue for estimation (and then correction) of the refractive field has analogy to ground-based astronomy. In astronomy, a guide star is imaged by a Shack-Hartmann sensor, for an estimate of the random refractive field created by atmospheric turbulence. In astronomy, this principle is used for countering blur, mainly by adaptive optics, while we use it for compensating distortions created by water waves. We introduce this novel concept for enabling a virtual periscope, demonstrate it, and analyze some of its limitations.
Keywords :
adaptive optics; artificial guide stars; astronomical image processing; astronomical instruments; atmospheric turbulence; cameras; distortion; image sensors; light reflection; Shack-Hartmann sensor; Sun; adaptive optics; airborne scene viewing; atmospheric turbulence; ground-based astronomy; guide star; image blurring; image distortion compensation; random refractive field estimation; random waves; stellar cue; stellar marine refractive imaging sensor; submerged camera; submerged pinholes array; submerged sensor; virtual periscope; water-air interface estimation; wavy water interface; Abstracts; Arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2014 IEEE International Conference on
Conference_Location :
Santa Clara, CA
Type :
conf
DOI :
10.1109/ICCPHOT.2014.6831816
Filename :
6831816
Link To Document :
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