Binary Image Denoising | Loopy Belief Propagation | Prob Graphical Model | Approx Inference | MRF
Binary Image Denoising with approximate Bayesian Inference using the algorithm LBP (Loopy Belief Propagation) over a Markov Random Field - An implementation in python
Pixels have values from the set {-1, +1}
Belief propagated with message passing between nodes in the undirected graphical model (UGM)
A part (small subset) of the messages is visualized to see the update in messages (diagonal since 4-nbd is considered for a pixel in the MRF)
#imageprocessing #imageprocessingpython #python #machinelearning #algorithm
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