A fast-iterative reconstruction algorithm for sparse angle CT based on compressed sensing.
Jia WuPublished in: Future Gener. Comput. Syst. (2022)
Keyphrases
- computer vision
- compressed sensing
- image reconstruction
- iterative reconstruction algorithm
- super resolution
- minimum norm
- random projections
- motion estimation
- signal processing
- signal reconstruction
- high resolution
- sparse representation
- compressive sampling
- object recognition
- signal recovery
- natural images
- image segmentation
- high quality
- orthogonal matching pursuit
- three dimensional
- principal component analysis
- least squares
- radon transform
- image classification
- sample size
- compressive sensing
- fourier domain
- computational complexity