Fast single image super-resolution using sparse Gaussian process regression.
Haijun WangXinbo GaoKaibing ZhangJie LiPublished in: Signal Process. (2017)
Keyphrases
- gaussian process regression
- single image super resolution
- sparse coding
- covariance function
- dictionary learning
- sparse representation
- compressive sensing
- natural images
- gaussian processes
- gaussian process
- super resolution
- image patches
- image classification
- unsupervised learning
- linear combination
- low resolution
- high dimensional
- random projections
- image representation
- generative model
- image reconstruction
- high resolution
- pairwise
- feature space
- high quality
- image denoising
- latent variables
- image features