Digital Restoration Systems: Coping with Reality

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 112, No. 7-8, pp. 225–231
Abstract: Despite the increase of available restoration systems, the dream of fully automatic restoration is still a myth. This is because it is simply not possible to generate fully accurate mathematical models of image sequence formation that can deal with all types of pictures and movement and so always ensure that perceptually “good” pictures are being produced. Quite often users are faced with the results of processing that show picture damage that is worse than the original data, or they must fine-tune parameter settings to such an alarming degree that the label of automatic processing is not meaningful anymore. This is a fundamental problem across many applications of image sequence processing.
Publication Date: 2003-07-01
DOI: 10.5594/J12362
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/J12362
Author(s): A. Kokaram
bio
Anil Kokaram is a lecturer and Fellow in the electrical and electronic engineering department at the University of Dublin Trinity College, Dublin, Ireland. He is also associate editor of IEEE Transactions on Image Processing. He received a Ph.D. degree in 1993 from the University of Cambridge, while working in the signal processing group in the engineering department. Kokaram has published more than 50 papers in video processing and is author of two patents. He has worked on various EC and locally funded projects, (Aurora, Brava) involving video and image processing, Bayesian Inference, and video restoration. His interests include motion estimation, archive film and video restoration, video processing, and Bayesian inference for signal processing.
R. Bornard
bio
Raphaël Bornard received an engineering degree in 1999 and a Ph.D. degree in applied mathematics in 2002, both from Ecole Centrale Paris, France. He joined Institut National de l'Audiovisuel (INA), France, as a research scientist in January 2000, where he works on archives restoration. His research interests include video and image processing, seismic data processing, inverse problems, and mathematical modeling.
A. Rares
bio
Andrei Rares received B.Sc. and M.Sc. degrees in computer science from the “Politehnica” University of Bucharest in 1996 and 1997, respectively. Since 1999 he has been pursuing a Ph.D. degree in information and communication theory at the Delft University of Technology. His current research interests include image and video processing with application to restoration, segmentation, motion estimation, and object tracking.
D. Sidorov
bio
Denis Sidorov received an M.Sc. degree in applied mathematics from Irkutsk State University in 1996 and a Ph.D. degree in applied mathematics from the Institute of Energy Systems of Russian Academy of Sciences in 2000. He worked at the University of Dublin, Trinity College, as a postdoctoral researcher until 2002 and is currently a senior research Fellow at the Institute of Energy Systems of Russian Academy of Sciences, Irkutsk, Russian Federation. His research interests are in numerical analysis in the fields of identification and control of nonlinear dynamic systems with Volterra models, PDE, integral equations, and applications of the Fourier analysis in image processing.
J. H. Chenot
bio
Jean-Hugues Chenot graduated from Ecole Polytechnique in 1986, and from the Ecole Nationale Superieure des Telecommunications in 1988. He then joined INA where he first developed software tools for 3-D modeling from range images. For four years, he participated in the Eureka Synthetic TV virtual studios project, where he was responsible for hardware communication interfaces, video devices, and optical measurement tools. He is now head of the video and audio processing research group at INA.
L. Laborelli
bio
Louis Laborelli joined INA in 1992 as a research engineer after being a research assistant at Nice and Sophia Antipolis University, France (UNSA). He has been involved in the Brava and Aurora European projects since 1996, in the position of image processing research manager. His research interests are in video image processing, invariant object recognition, and neural networks. He holds a graduate diploma (Magistere) in computer science and engineering from UNSA, with specialization in photonics, and is currently working on an MBA at Sorbonne University.
J. Biemond
bio
Jan Biemond is a chaired professor in the information and communication theory group and head of the mediamatics department of the Faculty of Information Technology and Systems at Delft University of Technology, The Netherlands. His research interests include image and video processing and motion estimation with applications in digital TV, 3-D TV, multimedia, digital libraries, scan-rate conversion, and computer vision. He has published extensively in these fields and supervised over 25 Ph.D. theses covering these fields.
Copyright: © 2003 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

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3. Rickman R. Stonham J. , “Content-based Image Retrieval using Colour Tuple Histograms , Proc. SPIE Storage and Retrieval for Image and Video Databases , 2670 : 2 – 7 , Feb. 1996 . EXTERNAL
4. Rares A. Reinders M.J.T. Biemond J. , “Statistical Analysis of Pathological Motion Areas,” IEE Seminar on Digital Restoration of Film and Video Archives , Jan. 2001 . EXTERNAL
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7. Bornard R. Lecan E. Laborelli L. Chenot J.-H. , “Missing Data Correction in Still Images and Image Sequences,” Proc. ACM Multimedia 2002 , pp. 355 – 361 , Dec. 2002 . EXTERNAL
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A. Kokaram, R. Bornard, A. Rares, D. Sidorov, J. H. Chenot, L. Laborelli, and J. Biemond; Digital Restoration Systems: Coping with Reality, SMPTE Motion Imaging Journal ( Volume: 112, Issue: 7-8, 2003); SMPTE, 2003. Available at https://doi.org/10.5594/J12362

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A. Kokaram, R. Bornard, A. Rares, D. Sidorov, J. H. Chenot, L. Laborelli, and J. Biemond; Digital Restoration Systems: Coping with Reality, SMPTE Motion Imaging Journal ( Volume: 112, Issue: 7-8, 2003); SMPTE, 2003. Available at https://doi.org/10.5594/J12362

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<span class="citation">A. Kokaram, R. Bornard, A. Rares, D. Sidorov, J. H. Chenot, L. Laborelli, and J. Biemond; <cite>Digital Restoration Systems: Coping with Reality</cite>, SMPTE Motion Imaging Journal ( Volume: 112, Issue: 7-8, 2003); SMPTE, 2003. Available at <a href="https://doi.org/10.5594/J12362" target="_blank" rel="noopener">https://doi.org/10.5594/J12362</a></span>

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A. Kokaram, R. Bornard, A. Rares, D. Sidorov, J. H. Chenot, L. Laborelli, and J. Biemond; <cite id="bib-10-5594-j12362">Digital Restoration Systems: Coping with Reality</cite>, SMPTE Motion Imaging Journal ( Volume: 112, Issue: 7-8, 2003); SMPTE, 2003
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