Multi-Shot Single Sensor Light Field Camera Using a Color Coded Mask

The article describes the role of polarisation in calculation of multiple reflections. A mathematical model of multiple reflections based on the Stokes vector for beam description and Mueller matrices for description of surface properties is presented. On the basis of this model, the global illumination equation is generalised for the polarisation case and is resolved into volume integration. This allows us to obtain an expression for the Monte Carlo method local estimates and to use them for evaluation of light distribution in the scene with consideration of polarisation. The obtained mathematical model was implemented in the software environment using the example of a scene with its surfaces having both diffuse and regular components of reflection. The results presented in the article show that the calculation difference may reach 30 % when polarisation is taken into consideration as compared to standard modelling.

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Modulation of the light field related to valve optical properties of raphid diatoms: implications for niche differentiation in the microphytobenthos

Marine Ecology Progress Series ◽

10.3354/meps12456 ◽

2018 ◽

Vol 588 ◽

pp. 29-42 ◽

Cited By ~ 7

Author(s):

JW Goessling ◽

S Frankenbach ◽

L Ribeiro ◽

J Serôdio ◽

M Kühl

Keyword(s):

Optical Properties ◽

Light Field ◽

Niche Differentiation

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Reconstruction of Smoke based on Light Field Consistency

IEEJ Transactions on Sensors and Micromachines ◽

10.1541/ieejsmas.136.522 ◽

2016 ◽

Vol 136 (12) ◽

pp. 522-531

Author(s):

Yuta Ideguchi ◽

Yuki Uranishi ◽

Shunsuke Yoshimoto ◽

Yoshihiro Kuroda ◽

Masataka Imura ◽

...

Keyword(s):

Light Field

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Full-parallax spherical light field display using mirror array

Electronic Imaging ◽

10.2352/issn.2470-1173.2018.04.sda-142 ◽

2018 ◽

Vol 2018 (4) ◽

pp. 142-1-142-5

Author(s):

Hiroaki Yano ◽

Tomohiro Yendo

Keyword(s):

Light Field

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A practical approach on non-regular sampling and universal demosaicing of raw image sensor data

London Imaging Meeting ◽

10.2352/issn.2694-118x.2020.lim-17 ◽

2020 ◽

Vol 2020 (1) ◽

pp. 91-95

Author(s):

Philipp Backes ◽

Jan Fröhlich

Keyword(s):

Image Quality ◽

Source Code ◽

Image Sensor ◽

Sensor Data ◽

Color Filter ◽

Lowpass Filter ◽

Sampling Errors ◽

Regular Sampling ◽

Single Sensor ◽

Similar Image Quality

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR

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