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CLIM SIGNED

Computational Light fields IMaging

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

CLIM project word cloud

Explore the words cloud of the CLIM project. It provides you a very rough idea of what is the project "CLIM" about.

microscopy digital preserving models rays promises coding decades flow ground overcome cumbersome bottlenecks 2d solutions first capturing computational compression holds physical scene structures sensors yields lay image professional interact made particle tougher creation architecture photography medical limitations capture amount markets becomes sampling sparse barriers representation decoding light ambition 4d geometrical deployment clim description rendering leads velocimetry huge chain single disruptive augmented geometric images representations signal dimensional data radical critical embedding editing horizons trajectory striking breaking camera dimensionality imaging alleviated compressed imply cameras algorithmic 5d recorded foundations objects

Project "CLIM" data sheet

The following table provides information about the project.

Coordinator	INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE Organization address address: DOMAINE DE VOLUCEAU ROCQUENCOURT city: LE CHESNAY CEDEX postcode: 78153 website: www.inria.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	France [FR]
Project website	http://clim.inria.fr
Total cost	2˙461˙086 €
EC max contribution	2˙461˙086 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2015-AdG
Funding Scheme	ERC-ADG
Starting year	2016
Duration (year-month-day)	from 2016-09-01 to 2021-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE Organization address address: DOMAINE DE VOLUCEAU ROCQUENCOURT city: LE CHESNAY CEDEX postcode: 78153 website: www.inria.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (LE CHESNAY CEDEX)	coordinator	2˙461˙086.00

Map

Project objective

Light fields technology holds great promises in computational imaging. Light fields cameras capture light rays as they interact with physical objects in the scene. The recorded flow of rays (the light field) yields a rich description of the scene enabling advanced image creation capabilities from a single capture. This technology is expected to bring disruptive changes in computational imaging. However, the trajectory to a deployment of light fields remains cumbersome. Bottlenecks need to be alleviated before being able to fully exploit its potential. Barriers that CLIM addresses are the huge amount of high-dimensional (4D/5D) data produced by light fields, limitations of capturing devices, editing and image creation capabilities from compressed light fields. These barriers cannot be overcome by a simple application of methods which have made the success of digital imaging in past decades. The 4D/5D sampling of the geometric distribution of light rays striking the camera sensors imply radical changes in the signal processing chain compared to traditional imaging systems.

The ambition of CLIM is to lay new algorithmic foundations for the 4D/5D light fields processing chain, going from representation, compression to rendering. Data processing becomes tougher as dimensionality increases, which is the case of light fields compared to 2D images. This leads to the first challenge of CLIM that is the development of methods for low dimensional embedding and sparse representations of 4D/5D light fields. The second challenge is to develop a coding/decoding architecture for light fields which will exploit their geometrical models while preserving the structures that are critical for advanced image creation capabilities. CLIM targets ground-breaking solutions which should open new horizons for a number of consumer and professional markets (photography, augmented reality, light field microscopy, medical imaging, particle image velocimetry).

Publications

List of publications.
year	authors and title	journal	last update
2019	Reuben A. Farrugia, Christine Guillemot A simple framework to leverage state-of-the-art single-image super-resolution methods to restore light fields published pages: 115638, ISSN: 0923-5965, DOI: 10.1016/j.image.2019.115638	Signal Processing: Image Communication Sept. 2019	2019-10-07
2019	Mikael Le Pendu, Christine Guillemot, Aljosa Smolic A Fourier Disparity Layer Representation for Light Fields published pages: 5740-5753, ISSN: 1057-7149, DOI: 10.1109/TIP.2019.2922099	IEEE Transactions on Image Processing 28/11	2019-09-13
2019	Mira Rizkallah, Xin Su, Thomas Maugey, Christine Guillemot Geometry-Aware Graph Transforms for Light Field Compact Representation published pages: 1-1, ISSN: 1057-7149, DOI: 10.1109/tip.2019.2928873	IEEE Transactions on Image Processing 07/2019	2019-09-13
2019	Jinglei Shi, Xiaoran Jiang, Christine Guillemot A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views published pages: 5867-5880, ISSN: 1057-7149, DOI: 10.1109/tip.2019.2923323	IEEE Transactions on Image Processing 28/12	2019-09-13
2019	Chiara Galdi, Valeria Chiesa, Christoph Busch, Paulo Lobato Correia, Jean-Luc Dugelay, Christine Guillemot Light Fields for Face Analysis published pages: 2687, ISSN: 1424-8220, DOI: 10.3390/s19122687	Sensors 19/12	2019-09-13
2019	Pierre Allain, Laurent Guillo, Christine Guillemot 4D Anisotropic Diffusion Framework with PDEs for Light Field Regularization and Inverse Problems published pages: 1-1, ISSN: 2333-9403, DOI: 10.1109/tci.2019.2919229	IEEE Transactions on Computational Imaging 06/2019	2019-09-13
2018	Mikael Le Pendu, Xiaoran Jiang, Christine Guillemot Light Field Inpainting Propagation via Low Rank Matrix Completion published pages: 1981-1993, ISSN: 1057-7149, DOI: 10.1109/TIP.2018.2791864	IEEE Transactions on Image Processing 27/4	2019-06-13
2017	Christine Guillemot and Reuben Farrugia Light field image processing: overview and research issues published pages: , ISSN: , DOI:	MMTC Communications - Frontiers vol. 12, No. 4, July 2017	2019-06-13
2017	Xiaoran Jiang, Mikael Le Pendu, Reuben A. Farrugia, Christine Guillemot Light Field Compression With Homography-Based Low-Rank Approximation published pages: 1132-1145, ISSN: 1932-4553, DOI: 10.1109/JSTSP.2017.2747078	IEEE Journal of Selected Topics in Signal Processing 11/7	2019-06-13
2017	Reuben A. Farrugia, Christian Galea, Christine Guillemot Super Resolution of Light Field Images Using Linear Subspace Projection of Patch-Volumes published pages: 1058-1071, ISSN: 1932-4553, DOI: 10.1109/JSTSP.2017.2747127	IEEE Journal of Selected Topics in Signal Processing 11/7	2019-06-13
2017	Oriel Frigo and Christine Guillemot Epipolar Plane Diffusion: An Efficient Approach for Light Field Editing published pages: , ISSN: , DOI:	British Machine Vision Conference (BMVC) Sept. 2017	2019-06-13
2018	Guillo , Laurent; Jiang , Xiaoran; Lafruit , Gauthier; Guillemot , Christine Light field video dataset captured by a R8 Raytrix camera (with disparity maps) published pages: , ISSN: , DOI:	https://hal.inria.fr/hal-01804578 Apr. 2018	2019-04-18
2019	Reuben Farrugia, Christine Guillemot Light Field Super-Resolution using a Low-Rank Prior and Deep Convolutional Neural Networks published pages: 1-1, ISSN: 0162-8828, DOI: 10.1109/tpami.2019.2893666	IEEE Transactions on Pattern Analysis and Machine Intelligence January 2019	2019-04-18

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