Compressed sensing image restoration based on data-driven multi-scale tight frame.
Chunhong CaoXieping GaoPublished in: J. Comput. Appl. Math. (2017)
Keyphrases
- image restoration
- compressed sensing
- multiscale
- natural images
- image reconstruction
- super resolution
- image processing
- total variation
- random projections
- sparse representation
- regularization parameter
- signal processing
- motion blur
- edge detection
- gaussian noise
- markov random field
- image denoising
- scale space
- point spread function
- fourier domain
- image patches
- blurred images
- image segmentation
- image representation
- computer vision
- wavelet transform
- high resolution
- pattern recognition
- high quality
- random sampling
- denoising
- motion estimation
- computational complexity
- feature selection