Joint Regression Modeling and Sparse Spatial Refinement for High-Quality Reconstruction of Distorted Color Images.
Nils GenserJürgen SeilerAndré KaupPublished in: ICIP (2019)
Keyphrases
- color images
- high quality
- compressed sensing
- high resolution
- compressive sensing
- gray scale
- signal reconstruction
- sparse bayesian learning
- regression model
- sparse representation
- high dimensional
- spatial information
- image reconstruction
- spatial and temporal
- temporal aspects
- color information
- image quality
- spatial data
- survival analysis
- spatio temporal
- linear regression
- image processing
- color image segmentation
- image classification
- support vector regression
- low resolution
- depth map
- model selection