Dr. Carole Thiebaut Profile

Dr. Carole Thiebaut

at Ctr National d'Études Spatiales

SPIE Involvement:

Author | Editor

Proceedings Article | 12 July 2019 Open Access

A pipeline to improve compressed image quality

Jean-Marc Delvit, Carole Thiebaut, Christophe Latry, Gwendoline Blanchet, Roberto Camarero

Proceedings Volume 11180, 111807I (2019) https://doi.org/10.1117/12.2536189

KEYWORDS: Image compression, Denoising, Modulation transfer functions, Satellites, Image quality, Interference (communication), Signal to noise ratio, Deconvolution, Satellite imaging, Earth observing sensors

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Proceedings Article | 12 July 2019 Open Access

On ground demonstrator of digital stabilization for high-resolution Earth observation time of delay integration imaging

S. Petit Poupart, A. Materne, C. Thiebaut, J. Delvit, C. Latry, B. Mithieux

Proceedings Volume 11180, 111804Q (2019) https://doi.org/10.1117/12.2536089

KEYWORDS: Sensors, Modulation transfer functions, Signal to noise ratio, Motion measurement, Position sensors, CCD image sensors, Image registration, Image quality, Cameras, Satellites

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Proceedings Article | 5 October 2017 Presentation + Paper

Real-time implementation of digital stabilization for high-resolution Earth observation imaging

C. Thiebaut, S. Petit-Poupart, J. M. Delvit, C. Latry, E. Bousquet, G. Laurent

Proceedings Volume 10430, 1043004 (2017) https://doi.org/10.1117/12.2278377

KEYWORDS: Sensors, Satellites, Image registration, Signal to noise ratio, Satellite imaging, Earth observing sensors, Optical flow, Algorithm development, Reconstruction algorithms, Image resolution

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Proceedings Article | 25 September 2017 Open Access

Sensitivity analysis of phase diversity technique for high resolution earth observing telescopes

Ch. Latry, J. M. Delvit, C. Thiebaut

Proceedings Volume 10562, 105623X (2017) https://doi.org/10.1117/12.2296051

KEYWORDS: Telescopes, Space telescopes, Active optics, Satellites, Astronomical imaging, Mirrors, Modulation transfer functions, Signal to noise ratio, Diffraction, Wavefronts

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Proceedings Article | 25 September 2017 Open Access

Wave front sensing for next generation earth observation telescope

J.-M. Delvit, C. Thiebaut, C. Latry, G. Blanchet

Proceedings Volume 10562, 105625H (2017) https://doi.org/10.1117/12.2296162

KEYWORDS: Wavefront sensors, Wavefronts, Mirrors, Space telescopes, Telescopes, Active optics, Image sensors, Reconstruction algorithms, Astronomical imaging, Sensors

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Proceedings Article | 27 July 2016 Paper

Fast gradient-based algorithm on extended landscapes for wave-front reconstruction of Earth observation satellite

C. Thiebaut, L. Perraud, J. M. Delvit, C. Latry

Proceedings Volume 9909, 99096V (2016) https://doi.org/10.1117/12.2233355

KEYWORDS: Electronic components, Earth observing sensors, Optical flow, Wavefront sensors, Reconstruction algorithms, Optical flow, Wavefront sensors, Reconstruction algorithms, Satellites, Sensors, Wavefronts, Field programmable gate arrays, Image processing

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Proceedings Article | 26 July 2016 Paper

Image processing improvement for optical observations of space debris with the TAROT telescopes

C. Thiebaut, S. Theron, P. Richard, G. Blanchet, A. Klotz, M. Boër

Proceedings Volume 9913, 99134G (2016) https://doi.org/10.1117/12.2233468

KEYWORDS: Satellites, Stars, Satellite imaging, Robotics, Space telescopes, Image processing, Telescopes, Space telescopes, Image processing, Telescopes, Detection and tracking algorithms, Space robots, Mathematical morphology

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Proceedings Article | 21 May 2015 Paper

Future CNES high-resolution remote sensing missions: novel image compression approaches for on-board processing units

R. Camarero, C. Thiebaut, Ch. Latry, M. Albinet, J.-M. Delvit, X. Delaunay

Proceedings Volume 9501, 950102 (2015) https://doi.org/10.1117/12.2176028

KEYWORDS: Image compression, Image quality, Computer programming, Satellites, Remote sensing, Image processing, Clouds, Visualization, Modulation transfer functions, Image storage

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Current satellite on-board processing units usually follow a conservative scheme where simple operations are performed on the acquired pixels. Frequently, only image compression is done on-board, and in most cases, this compression is applied at a constant global bit-rate in order to simplify the storage and the acquisition and download schedules, as highly predictable data volumes are produced.

This constant or fixed rate paradigm represents in fact a huge constraint for image compressors. Firstly, it can be hard to obtain with classical entropy coders, because their variable-length codes naturally produce variable bit-rates. Secondly and more importantly, the same compression ratio must be applied to every image, without being able to take into account its content, its degree of interest or even its entropy.

Moreover, remote sensing imagery has become a crucial instrument in a large number of civil and military applications and then, image-quality requirements are more and more difficult to satisfy because every final user has specific needs. Thus, as with fixed rate compression some image areas are better compressed than others, image-quality assessments must be established based on worst-case analysis, which provides very low compression ratios, even for state-of-the-art compressors.

CNES has been working for the last years in the characterization of image-quality requirements imposed by final users, in order to establish a relationship between the local image characteristics and the associated image quality requirements, or in other words, the tolerated compression losses.

As a result, the new functionalities included in the next generation of CNES image compressors will permit to accurately and locally adjust the compression ratio: the target quality level will be adapted for every area in the image taking into account not only its entropy but also its degree of interest.

This new trend has required the adoption of variable rate compression, which has had a significant impact in other associated elements such as mission scheduling and storage. Other interesting on-board processing techniques have also been introduced in order to fully exploit the capacities of this new kind of compression.

Proceedings Article | 19 October 2012 Paper

Fixed-quality/variable bit-rate on-board image compression for future CNES missions

Roberto Camarero, Xavier Delaunay, Carole Thiebaut

Proceedings Volume 8514, 851402 (2012) https://doi.org/10.1117/12.928965

KEYWORDS: Image compression, Image segmentation, Image quality, Distortion, Quantization, Image quality standards, Image resolution, Satellites, Wavelets, Magnesium

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Proceedings Article | 17 September 2011 Paper

Improving a DWT-based compression algorithm for high image-quality requirement of satellite images

Carole Thiebaut, Christophe Latry, Roberto Camarero, Grégory Cazanave

Proceedings Volume 8157, 815702 (2011) https://doi.org/10.1117/12.892528

KEYWORDS: Image compression, Image processing, Image segmentation, Image quality, Wavelets, Visualization, Satellites, Visual analytics, Satellite imaging, Quantization

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Proceedings Article | 17 September 2011 Paper

On-board compression of hyperspectral satellite data using band-reordering

Jean-Michel Gaucel, Carole Thiebaut, Romain Hugues, Roberto Camarero

Proceedings Volume 8157, 81570W (2011) https://doi.org/10.1117/12.893881

KEYWORDS: Image compression, Distance measurement, Satellites, Data compression, Particle filters, Environmental sensing, 3D metrology, Discrete wavelet transforms, Algorithms, Data storage

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Proceedings Article | 24 August 2010 Paper

CNES studies for on-board implementation via HLS tools of a cloud-detection module for selective compression

R. Camarero, C. Thiebaut, Ph. Dejean, A. Speciel

Proceedings Volume 7810, 781004 (2010) https://doi.org/10.1117/12.860140

KEYWORDS: Image compression, Clouds, Simulink, Satellites, Reflectivity, Detection and tracking algorithms, Image resolution, Satellite imaging, Image filtering, Image quality

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Proceedings Article | 31 August 2009 Paper

Multicomponent compression with the latest CCSDS recommendation

Carole Thiebaut, Roberto Camarero

Proceedings Volume 7455, 745503 (2009) https://doi.org/10.1117/12.825291

KEYWORDS: Image compression, JPEG2000, Data compression, Discrete wavelet transforms, Landsat, Agriculture, Image quality, Image segmentation, Hyperspectral imaging, Earth observing sensors

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Proceedings Article | 5 September 2008 Paper

CNES studies for on-board compression of high-resolution satellite images

Carole Thiebaut, Xavier Delaunay, Christophe Latry, Gilles Moury

Proceedings Volume 7084, 70840F (2008) https://doi.org/10.1117/12.798121

KEYWORDS: Image compression, Satellites, Satellite imaging, Earth observing sensors, Data compression, Satellite communications, Data communications, Receivers, Chlorine, Aerospace engineering

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Proceedings Article | 19 September 2007 Paper

CNES studies of on-board compression for multispectral and hyperspectral images

Carole Thiebaut, Emmanuel Christophe, Dimitri Lebedeff, Christophe Latry

Proceedings Volume 6683, 668305 (2007) https://doi.org/10.1117/12.734186

KEYWORDS: Independent component analysis, Image compression, Discrete wavelet transforms, JPEG2000, Hyperspectral imaging, Multispectral imaging, Data compression, Sensors, Detection and tracking algorithms, Wavelets

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Proceedings Article | 24 December 2002 Paper

ARAGO: a robotic observatory for the variable sky

Michel Boer, Agnes Acker, Jean-Luc Atteia, Gilles Buchholtz, Francois Colas, Magali Deleuil, Michel Dennefeld, Jean-Michel Desert, Noel Dolez, J. Eysseric, Roger Ferlet, Marc Ferrari, Pierre Jean, Alain Klotz, Driss Kouach, Alain Lecavelier des Etangs, Gerard Lemaitre, Alexandre Marcowith, Jean-Babtiste Marquette, Jean-Pierre Meunier, Robert Mochkovitch, Reynald Pain, Laurent Pares, Henri Pinna, Roger Pinna, Lionel Provost, Sylvie Roques, Jean Schneider, Jean-Pierre Sivan, Caroline Soubiran, Carole Thiebaut, Gerard Vauclair, Richard Verchere, Alfred Vidal-Madjar

Proceedings Volume 4836, (2002) https://doi.org/10.1117/12.457013

KEYWORDS: Telescopes, Observatories, Silicon carbide, Planets, Gamma radiation, Satellites, Robotics, Stars, Asteroids, Data processing

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Proceedings Article | 19 December 2002 Paper

Steps toward the development of an automatic classifier for astronomical sources

Carole Thiebaut, Michel Boer, Sylvie Roques

Proceedings Volume 4847, (2002) https://doi.org/10.1117/12.461027

KEYWORDS: Astronomy, Wavelets, Stars, Autoregressive models, Galactic astronomy, Time-frequency analysis, Neurons, Content addressable memory, Chemical species, Image analysis

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Proceedings Article | 2 January 2002 Paper

Versatile scheduler for automatic telescopes

Sabine Moisan, Michel Boer, Carole Thiebaut, Fabian Tricoire, Monique Thonnat

Proceedings Volume 4844, (2002) https://doi.org/10.1117/12.460639

KEYWORDS: Telescopes, Space telescopes, Visibility, Observatories, Astronomical telescopes, Gamma radiation, Systems modeling, Computer programming, Image processing, Sensors

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Showing 5 of 18 publications

SPIE Conference Volume | 16 October 2012

Satellite Data Compression, Communications, and Processing VIII

SPIE Conference Volume | 16 September 2011

Satellite Data Compression, Communications, and Processing VII

Conference Committee Involvement (17)

High-Performance Computing in Geoscience and Remote Sensing

13 September 2018 | Berlin, Germany

High-Performance Computing in Geoscience and Remote Sensing

12 September 2017 | Warsaw, Poland

High-Performance Computing in Geoscience and Remote Sensing

28 September 2016 | Edinburgh, United Kingdom

Remotely Sensed Data Compression, Communications, and Processing XII

20 April 2016 | Baltimore, MD, United States

High-Performance Computing in Remote Sensing

21 September 2015 | Toulouse, France

Satellite Data Compression, Communications, and Processing XI

23 April 2015 | Baltimore, MD, United States

High-Performance Computing in Remote Sensing

22 September 2014 | Amsterdam, Netherlands

Satellite Data Compression, Communications, and Processing X

8 May 2014 | Baltimore, MD, United States

High-Performance Computing in Remote Sensing III

25 September 2013 | Dresden, Germany

Satellite Data Compression, Communications, and Processing IX

26 August 2013 | San Diego, California, United States

High-Performance Computing in Remote Sensing

26 September 2012 | Edinburgh, United Kingdom

Satellite Data Compression, Communications, and Processing VIII

12 August 2012 | San Diego, California, United States

High-Performance Computing in Remote Sensing

19 September 2011 | Prague, Czech Republic

Satellite Data Compression, Communications, and Processing VII

23 August 2011 | San Diego, California, United States

Satellite Data Compression, Communications, and Processing VI

3 August 2010 | San Diego, California, United States

Satellite Data Compression, Communication, and Processing V

4 August 2009 | San Diego, California, United States

Satellite Data Compression, Communication, and Processing IV

10 August 2008 | San Diego, California, United States

Showing 5 of 17 Conference Committees

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