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Frequency Recognition Algorithm for Multiple Exposures

Frequency Recognition Algorithm for Multiple Exposures

Objective

"This proof of concept (PoC) project seeks to explore the possibility of commercializing an optical imaging instrument with the unique ability of permitting a single detector to acquire and store several images simultaneously. This new concept, which is named Frequency Recognition Algorithm for Multiple Exposures (FRAME), employs an ""image-coding"" strategy, where different exposures are given a unique structural “code”. Thanks to this novel coding approach, the camera sensor may be exposed to light several times before readout is necessary – a completely new feature within the field of optical imaging.

The ability for a single detector to acquire a number of images simultaneously opens up for a variety of new measurement schemes such as:
1) Ultra-high-speed videography
2) Instantaneous three-dimensional imaging
3) Simultaneous multispectral imaging.

The main goal of the ERC Starting Grant funded project “Spray-Imaging” is to develop and apply new optical imaging approaches for the detailed characterization of atomizing spray systems. The need for both ultra-high-speed and three-dimensional (3D) imaging are then of importance especially for the study highly transient two-phase flow phenomena.

This PoC will focus both on the development of both a prototype instrument and a control software. Our business idea is to produce an optical instrument – an “add-on” device – that will permit the user to incorporate the FRAME imaging concept. This approach will allow users to seamlessly upgrade any given optical arrangement (e.g. for any given illumination source and detector) with the FRAME functionality."
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Host institution

LUNDS UNIVERSITET

Address

Paradisgatan 5c
22100 Lund

Sweden

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 32 358,75

Beneficiaries (2)

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LUNDS UNIVERSITET

Sweden

EU Contribution

€ 32 358,75

LAVISION GMBH

Germany

EU Contribution

€ 117 641,25

Project information

Grant agreement ID: 692987

Status

Closed project

  • Start date

    1 June 2016

  • End date

    31 May 2017

Funded under:

H2020-EU.1.1.

  • Overall budget:

    € 150 000

  • EU contribution

    € 150 000

Hosted by:

LUNDS UNIVERSITET

Sweden