D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI.
Christopher A. MetzlerGordon WetzsteinPublished in: ICASSP (2021)
Keyphrases
- message passing
- denoising
- inference in graphical models
- belief propagation
- magnetic resonance imaging
- image denoising
- distributed systems
- shared memory
- probabilistic inference
- noisy images
- distributed shared memory
- junction tree
- markov random field
- sum product algorithm
- factor graphs
- image processing
- sum product
- approximate inference
- stereo matching
- graphical models
- computer vision
- higher order
- dynamic programming
- loopy belief propagation
- high quality