An Iterative Method With Enhanced Laplacian- Scaled Thresholding for Noise-Robust Compressive Sensing Magnetic Resonance Image Reconstruction.
Zhonghua XieLing-Jun LiuXiaoye WangCui YangPublished in: IEEE Access (2020)
Keyphrases
- image reconstruction
- magnetic resonance
- compressive sensing
- random projections
- signal reconstruction
- mr images
- positron emission tomography
- medical images
- compressed sensing
- image registration
- image data
- super resolution
- mr imaging
- computed tomography
- edge detection
- magnetic resonance images
- sparse representation
- radon transform
- registration errors
- image processing
- brain images
- gray level
- image representation
- signal processing
- ct images
- object recognition
- pattern recognition
- noise reduction
- computer vision
- multiscale
- image segmentation
- partial volume
- dimensionality reduction
- image analysis