Publication | Closed Access
A homotopy continuation method for parameter estimation in MRF models and image restoration
10
Citations
13
References
2002
Year
Unknown Venue
Image ReconstructionEngineeringMarkov Random FieldMulti-resolution MethodMrf ModelsImage AnalysisSignal ReconstructionComputational ImagingHomotopy Continuation MethodPublic HealthStatisticsMachine VisionReconstruction TechniqueMedical ImagingImage Restoration SchemeInverse ProblemsMedical Image ComputingFunctional Data AnalysisComputer VisionAlternate ApproachBiomedical ImagingImage Restoration
In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We also develop a joint parameter estimation and image restoration scheme where we have used a fairly general model involving the line fields and tested on a real image. Simulation results using gray level images are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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