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This workshop is intended to bring practitioners and theoreticians
together to better understand image processing problems in which the
available data are modulated or undersampled.
Modulated image data arise for instance from non-ideal imaging
conditions such as non-homogeneous electro-magnetic fields, and
undersampling is either unavoidable or used for acceleration of data
acquisition.
In recent years advanced mathematical methods have been developed to
overcome the problems arising from modulation and undersampling in
order to reconstruct the underlying uncorrupted images. These methods
are now gaining importance in practical applications. The rapid
development of new image acquisition hardware and techniques demands
further improvement of the available mathematical methodologies.
Topics discussed in this workshop include:
- Parallel image reconstruction.
- Nonlinear reconstruction techniques.
- Segmentation and registration of modulated images.
- Smooth and non-smooth modulations.
- Compressed sensing techniques.
- Mathematical and algorithmic tools in the above fields.
Interested researchers are encouraged to post the workshop poster.
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