Classics in Image Processing
Dr. Simon Setzer and
Prof. Dr. Joachim Weickert
Winter Term 2011/2012
Notice for bachelor/master students of mathematics:
This is a »Hauptseminar« in the sense of these study programs.
Important Dates –
Registration period: Registration is closed.
Regular meetings during the winter term 2011/2012:
Tuesday, 16:15h, Building E1.1, Room 306
Date of first regular meeting:
Tuesday, November 15, 2011
Tuesday, January 10, 2012
Mathematical image processing is a prospering field of research for more than 60
years now with many practical applications. In this seminar, we discuss landmark
papers which have shaped the field. These works are not only interesting from a
historical perspective but contain crucial ideas that are still highly
relevant and inspire current research.
The topics include but are not limited to information processing, feature detection, treatment of texture, multiscale methods and compressed sensing.
The seminar is for advanced bachelor or master
students in Visual Computing, Mathematics or Computer Science. Basic
mathematical knowledge (e.g. Mathematik für Informatiker I-III) is required,
and some knowledge in image processing is recommended.
All papers are written in English and English is the preferred language of presentation.
Registration is closed.
It is expected that you attend all seminar meetings, except for provable
important reasons (we check).
Talk duration is 30 min, plus 15 min for discussion. Please do not
deviate from this time schedule.
You may give a presentation using a data projector (»beamer«),
overhead projector or blackboard, or mix these media appropriately.
Your presentation should be delivered in English. Your slides and your write-up, too, should be in English.
The write-up has to be handed in no later than
three weeks after the end of the lecturing period.
The write-up should summarise your talk, about 5 pages per speaker
will be adequate in most cases.
Electronic submission is preferred. File format for electronic
submissions is PDF – text processor files (like .doc) are not acceptable.
Adhere to the standards of scientific referencing: Quotations and copied
material (such as images) must be clearly marked as such, and a bibliography
Talk preparation has to be presented to your seminar supervisor no later than
a week before the talk is given.
It is your responsibility to approach us timely and make your appointment!
In case you do not appear to your scheduled talk, we reserve the right to exclude you from all future seminars of our group.
We plan to discuss the following papers. If your registration was successful, the password will be sent to you before the first meeting on Friday, July 22.
Communication in the Presence of Noise.
Proceedings of the Institute of Radio Engineers, Vol. 37, No. 1, pp. 10-21, 1949
||J. D. G. Giraldo
||D. A. Huffman
A Method for the Construction of Minimum Redundancy Codes.
Proceedings of the Institute of Radio Engineers, Vol. 40, No. 9, pp. 1098-1101, 1952
||L. S. G. Kovásznay, H. M. Joseph
Proceedings of the Institute of Radio Engineers, Vol. 43, No. 5, pp. 560-570, 1955
||P. Craven, G. Wahba
Smoothing Noisy Data with Spline Functions.
Numerische Mathematik, Vol. 31, pp. 377-403, 1979
||D. Marr, E. Hildreth
Theory of Edge Detection.
Proceedings of the Royal Society of London. Series B, Vol. 207, No. 1167, pp. 187-217, 1980
A Computational Approach to Edge Detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 8, No. 6, pp. 679-698, 1986
||W. Förstner, E. Gülch
A Fast Operator for Detection and Precise Location of
Distinct Points, Corners and Centres of Circular Features.
ISPRS Intercommission Workshop, Interlaken, Switzerland, 1987
A Threshold Selection Method from Gray-Level Histograms.
IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-66, 1979
||S. Beucher, C. Lantuejoul
Use of Watersheds in Contour Detection.
International Workshop on Image Processing: Real-time Edge and Motion Detection/Estimation, Rennes, France, 1979
||R. M. Haralick, K. Shanmugam, I. Dinstein
Textural Features for Image Classification.
IEEE Transactions on Systems, Man, and Cybernetics, Vol. 3, No. 6, pp. 610-621, 1973
||A. A. Efros, T. k. Leung
Texture Synthesis by Non-parametric Sampling.
IEEE International Conference on Computer Vision, 1999
||A. Buades, B. Coll, J.-M. Morel
A Non-Local Algorithm for Image Denoising.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, 2005.
||S. Masnou, J.-M. Morel
Level Lines Based Disocclusion.
International Conference on Image Processing Proceedings, ICIP, Vol. 3, pp. 259-263, 1998
||P. J. Burt and E. H. Adelson
The Laplacian Pyramid as a Compact Image Code.
IEEE Transactions on Communications, Vol. 31, No. 4, pp. 532-540, 1983
||W. T. Freeman, E. H. Adelson
The Design and Use of Steerable Filters.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13, No. 9, 891-906, 1991
Theory of Communication. Part 1: The Analysis of Information.
Journal of the Institution of Electrical Engineers, Vol. 93, No. 26, 429 - 441, 1946
||B. A. Olshausen, D. J. Field
Sparse Coding with Overcomplete Basic Set: A Strategy Employed by V1.
Vision Research, Vol. 37, 3311-3325, 1997
||D. L. Donoho, I. M. Johnstone
Adapting to Unknown Smoothness via Wavelet Shrinkage.
Journal of the American Statistical Association, Vol. 90, No. 432, 1200-1224, 1995
||M. Holschneider, R. Kronland-Martinet, J. Morlet, Ph. Tchamitchian
A Real-Time Algorithm for Signal Analysis with the Help of the Wavelet Transform.
Wavelets. Time-Frequency Methods and Phase Space, Proceedings of the International Conference, Marseille, France, December 14-18, 1987, Springer, Berlin, pp. 286-297
|10.1.2012||V. Mukha||S. Setzer
||E. J. Candes, J. Romberg, T. Tao
Stable Signal Recovery from Incomplete and Inaccurate Measurements.
Communications on Pure and Applied Mathematics, Vol. 59, No. 8, pp. 1207-1223, 2006