Image resolution enhancement with hierarchical hidden fields

TitleImage resolution enhancement with hierarchical hidden fields
Publication TypeConference Paper
Year of Publication2009
AuthorsLiu, Y., and P. Fieguth
Conference Name6th International Conference on Image Analysis and Recognition
ISBN Number978-3-642-02610-2

In any image processing involving images having scale-dependent structure, a key challenge is the modeling of these multi-scale characteristics. Because single Gauss-Markov models are effective at representing only single-scale phenomena, the classic Hidden Markov Model can not perform well in the processing of more complex images, particularly near-fractal images which frequently occur in scientific imaging. Of further interest is the presence of space-variable, nonstationary behaviour. By constructing hierarchical hidden fields, which label the behaviour type, we are able to capture heterogeneous structure in a scale-dependent way. We will illustrate the approach with a method of frozen-state simulated annealing and will apply it to the resolution enhancement of porous media images.