STELLA MARIS: Stellar marine refractive imaging sensor

Alterman, Marina; Swirski, Yohay; Schechner, Yoav Y.

doi:10.1109/iccphot.2014.6831816

Cited by 16 publications

(8 citation statements)

References 48 publications

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“…Additional experiments are detailed in our full length paper. 26 We experienced failure cases when the WAI experienced small scale wave ripples. Our existing implementation does not sample the WAI densely enough to measure such high frequency waves, yielding WAI aliasing.…”

Section: Stella Maris: Stellar Marine Refractive Imaging Sensormentioning

confidence: 96%

“…Full details of this method are given in our full-length paper. 26 The WAI-slope sensor includes a horizontal array of pinholes. A sunray refracts by the WAI, then passes through a pinhole at 3D location h, and irradiates a spot on the diffuser (Fig 9), at 3D location p. The unit vectorŝ w is the direction of a back-projected sunray in the water, from p via h,…”

Section: Stella Maris: Stellar Marine Refractive Imaging Sensormentioning

confidence: 99%

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3D in natural random refractive distortions

Alterman¹,

Schechner

2016

SPIE Proceedings

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Random distortions naturally affect images taken through atmospheric turbulence or wavy water. They pose new 3D recovery problems. Distortions are caused by the volumetric field of turbulent air or the 3D shape of water waves. We show methods that recover these 3D distorting media. Moreover, it is possible to triangulate objects beyond the refracting medium. Applications include sensing and study of random refractive media in nature, and enhanced imaging including possibilities for a virtual periscope.

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Section: Stella Maris: Stellar Marine Refractive Imaging Sensormentioning

confidence: 96%

Section: Stella Maris: Stellar Marine Refractive Imaging Sensormentioning

confidence: 99%

3D in natural random refractive distortions

Alterman¹,

Schechner

2016

SPIE Proceedings

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“…Unlike depth of field, the depth of focus Z f is internal to the camera. It sets the tolerance on the image sensor placement relatively to C, to ensure ϵ < E (Allen and Triantaphillidou 2012). For far objects, it is expressed as:…”

Section: The Points Out Of Focusmentioning

confidence: 99%

A Survey on Adaptive Cameras

Ducrocq,

Caron

2024

Int J Comput Vis

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…Moreover, an optimization strategy which combines the JADE with LBFGS methods is introduced to accelerate the iterative registration process. Unlike other methods, ours does not need a particular camera height [ 19 ], image priori [ 20 ], or special illumination [ 36 , 37 ]. Our approach is similar to the state-of-the-art [ 25 , 28 , 29 , 30 ] in that it only needs a short sequence (61 frames) rather than 800 frames in [ 14 ], 300k frames in [ 22 ], 100 frames in [ 23 ], and 43,600 frames in [ 24 ], where it is the prerequisite for underwater imaging systems to achieve covert observation.…”

Section: Related Workmentioning

confidence: 99%

Water-Air Interface Imaging: Recovering the Images Distorted by Surface Waves via an Efficient Registration Algorithm

Jian

Zhu

et al. 2022

Entropy

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Imaging through the wavy water–air interface is challenging since the random fluctuations of water will cause complex geometric distortion and motion blur in the images, seriously affecting the effective identification of the monitored object. Considering the problems of image recovery accuracy and computational efficiency, an efficient reconstruction scheme that combines lucky-patch search and image registration technologies was proposed in this paper. Firstly, a high-quality reference frame is rebuilt using a lucky-patch search strategy. Then an iterative registration algorithm is employed to remove severe geometric distortions by registering warped frames to the reference frame. During the registration process, we integrate JADE and LBFGS algorithms as an optimization strategy to expedite the control parameter optimization process. Finally, the registered frames are refined using PCA and the lucky-patch search algorithm to remove residual distortions and random noise. Experimental results demonstrate that the proposed method significantly outperforms the state-of-the-art methods in terms of sharpness and contrast.

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STELLA MARIS: Stellar marine refractive imaging sensor

Abstract: Abstract

Cited by 16 publications

References 48 publications

3D in natural random refractive distortions

3D in natural random refractive distortions

A Survey on Adaptive Cameras

Water-Air Interface Imaging: Recovering the Images Distorted by Surface Waves via an Efficient Registration Algorithm

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