Compressive total variation for image reconstruction and restoration.
Peng LiWengu ChenMichael K. NgPublished in: Comput. Math. Appl. (2020)
Keyphrases
- image reconstruction
- total variation
- image restoration
- super resolution
- random projections
- image deblurring
- blind deconvolution
- reconstructed image
- high resolution
- compressed sensing
- compressive sensing
- convex optimization
- edge preserving
- regularization methods
- maximum a posteriori
- image processing
- regularization parameter
- synthetic aperture radar
- radon transform
- high quality
- inverse problems
- regularization term
- degraded images
- wiener filter
- image denoising
- tomographic reconstruction
- denoising
- reconstruction method
- motion blur
- restored image
- markov random field
- point spread function
- motion estimation
- limited angle
- edge detection
- face recognition
- back projection
- multi frame
- gaussian noise
- blurred images
- energy function
- computer vision
- partial differential equations