Fast Reconstruction of Three-Quarter Sampling Measurements Using Recurrent Local Joint Sparse Deconvolution and Extrapolation.
Simon GroscheAndy RegenskyAlexander SinnJürgen SeilerAndré KaupPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2022)
Keyphrases
- compressed sensing
- compressive sampling
- compressive sensing
- dense sampling
- sparsely sampled
- image reconstruction
- signal reconstruction
- sparse sampling
- three dimensional
- inverse problems
- multiview reconstruction
- fourier domain
- denoising
- sparse representation
- random projections
- band limited
- orthogonal matching pursuit
- natural images
- least squares
- super resolution
- blind deconvolution
- image restoration
- sparse reconstruction
- binary matrices
- random sampling
- recurrent neural networks
- high dimensional
- sparsity constraints
- feed forward
- reconstruction process
- sampling algorithm
- reconstruction method
- reconstruction error
- monte carlo
- joint optimization
- low rank approximation
- image deblurring
- sample size
- blurred images
- sampling theorem
- motion blur
- reconstructed image
- high resolution
- neural network