Key features: Investment of up to £1.25m in feasibility studies to bring emerging imaging technologies closer to commercial use.
Programme: Feasibility studies
Award: Up to £1.25m
Opens: 03 Feb 2014, 00:00
Registration closes: 26 Mar 2014, 12:00
Closes: 02 Apr 2014, 12:00
Support phone number: 0300 321 4357
Seeing more than before - emerging imaging technologies
- image capture (including detector technology)
- image processing (for human interpretation or automatic extraction of information).
- terahertz imaging – particularly challenges around source, detector, algorithm and system development for applications, including non-destructive testing, non-invasive imaging, materials characterisation and new applications
- multi-spectral and hyper-spectral imaging, including the challenges of realising broad tuneable light sources and diffraction-limited image quality over the full spectral response. There may be applications for example in defence surveillance and in medical imaging for diagnosis and treatment, improving discrimination between cancerous and non-cancerous tissue
- challenges of integrating multi-modal/ hybrid imaging technologies (several techniques applied simultaneously to the same sample), for example to enable earlier diagnosis and treatment of disease and for machine vision applications
- multi-dimensional imaging. In particular LiDAR technology for high-resolution, accurate 3D imaging for a wide range of applications. Also Geiger-mode, linear-mode and single photon detector-array technology for applications in low-light 3D imaging
- close-to-sensor processing, including techniques that integrate image capture and image processing for high-dynamic-range imaging, and novel techniques that enable significant reductions in size, weight and power.
- image processing, including innovations in image analysis and compression software. In particular, faster processing and real-time analysis without loss or degradation of the image, pattern recognition and analysis, enablers of increased automation and reduced human input to interpret data, such as machine-learning technologies to interpret images, image segmentation and classification
- novel optics covering a broad range of wavebands and materials, including ceramics, crystals and photonic components, for high-temperature applications or very compact optical design
- computational imaging that provides significant improvement, for example in resolution beyond physical system limitations, by combining hardware and software development
- integrating the basic processing of the image to identify features with any real-world augmentation in generated graphics
- visualisation technologies – how data or images can be represented in such a way as to be useful, for example in medical imaging with 3D virtual fly-through of organs, which can be annotated, and also have options to ‘zoom' through from what is visible to microscopic-level details
- deriving scene content from a set of detected images that do not use traditional approaches, such as edgelet detection.
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Funding allocation and project details
- Competition opens: 3 February 2014
- Optional briefing event: 11 February 2014
- Registration deadline: Noon, 26 March 2014
Deadline for applications: Noon, 2 April 2014
- Competition helpline: 0300 321 4357
- Email: firstname.lastname@example.org