A Note on Compressed Sensing of Structured Sparse Wavelet Coefficients From Subsampled Fourier Measurements.
Ben AdcockAnders C. HansenBogdan RomanPublished in: IEEE Signal Process. Lett. (2016)
Keyphrases
- compressed sensing
- wavelet coefficients
- fourier domain
- image reconstruction
- wavelet domain
- shift invariant
- wavelet transform
- multiresolution
- subband
- multiscale
- high frequency
- discrete wavelet transform
- image denoising
- wavelet decomposition
- random projections
- natural images
- frequency domain
- radon transform
- compressive sampling
- sparse representation
- spatial domain
- orthogonal matching pursuit
- feature vectors
- noisy images
- fourier transform
- low frequency
- bitstream
- spatial resolution
- pattern recognition
- dimensionality reduction
- translation invariant
- super resolution
- denoising
- object recognition
- feature extraction
- image data
- contourlet transform
- image classification
- image quality