Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior.
Riccardo BarbanoJohannes LeuschnerJavier AntoránBangti JinJosé Miguel Hernández-LobatoPublished in: CoRR (2022)
Keyphrases
- experimental design
- computed tomography
- image prior
- image reconstruction
- reconstructed image
- maximum a posteriori
- image restoration
- ct images
- medical images
- edge preserving
- markov random field
- image denoising
- edge information
- medical imaging
- active learning
- empirical studies
- three dimensional
- sample size
- super resolution
- prior model
- image deblurring
- colour images
- blind deconvolution
- potential functions
- total variation
- radon transform
- image processing
- error rate
- feature selection
- game play
- high resolution
- image quality
- noise reduction
- bayesian framework
- computer vision