On the simulation and development of massive parallel digital architectures for Markov random fields [image processing applications].
Stephan C. StilkerichRupert ReigerPublished in: ICASSP (5) (2004)
Keyphrases
- markov random field
- image processing
- image segmentation
- image restoration
- belief propagation
- graph cuts
- maximum a posteriori
- energy minimization
- random fields
- higher order
- parameter estimation
- message passing
- low level vision
- mrf model
- energy function
- pairwise
- piecewise constant functions
- map inference
- map estimation
- conditional random fields
- multiscale
- potential functions
- image analysis
- denoising
- potts model
- markov networks
- textured images
- efficient inference
- mrf models
- iterative conditional
- total variation
- loopy belief propagation
- image denoising
- computer graphics