Eigenvalue and Eigenvector Expansions for Image Reconstruction.
Tomohiro AoyagiKouichi OhtsuboPublished in: PHOTOPTICS (2022)
Keyphrases
- image reconstruction
- covariance matrix
- reconstructed image
- super resolution
- compressed sensing
- emission computed tomography
- inverse problems
- computed tomography
- reconstruction method
- tomographic reconstruction
- singular value decomposition
- least squares
- principal component analysis
- sample size
- image reconstruction algorithms
- emission tomography
- radon transform
- reconstruction process
- random projections
- zernike moments
- sampled data
- limited angle
- linear combination
- computer vision
- markov random field
- image analysis
- image quality
- signal reconstruction
- low resolution
- sparsely sampled
- image processing