Ill-posed problems are ubiquitous in computer vision. They are inverse problems where the associated inverse operation is not defined. This paper starts by defining and discussing ill-posed problems with an emphasis on computer vision problems. It then describes an approach to statistical estimation known as the Minimum Description Length principle (MDL). Following this, the application of MDL to these ill-posed problems is described and example applications are discussed.
By: Byron Dom
Published in: RJ10116 in 1998
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