Parameterizing Variational Methods Through Data-Driven Inverse Problems for Image Processing Applications.
Italo M. F. SantosGilson A. GiraldiPablo Javier BlancoAbimael D. LoulaPublished in: IWSSIP (2020)
Keyphrases
- variational methods
- inverse problems
- image processing
- partial differential equations
- level set
- curve evolution
- early vision
- global optimization
- image reconstruction
- convex optimization
- optic flow
- approximate inference
- optimization methods
- optimization problems
- optical flow
- multiscale
- image segmentation
- optical flow estimation
- image enhancement
- operator splitting
- total variation
- smoothness constraint
- computer vision
- image denoising
- edge detection
- probabilistic inference
- energy functional
- image restoration
- denoising
- image analysis
- belief propagation
- active contours
- graphical models
- high resolution