Formulating Event-Based Image Reconstruction as a Linear Inverse Problem With Deep Regularization Using Optical Flow.
Zelin ZhangAnthony J. YezziGuillermo GallegoPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
- image reconstruction
- optical flow
- inverse problems
- reconstructed image
- compressed sensing
- super resolution
- sampled data
- maximum a posteriori
- computed tomography
- wiener filtering
- radon transform
- emission computed tomography
- image reconstruction algorithms
- optical flow estimation
- least squares
- random projections
- zernike moments
- tomographic reconstruction
- computer vision
- image sequences
- emission tomography
- regularization parameter
- motion estimation
- moving objects
- high resolution
- sparsely sampled
- high quality
- signal reconstruction
- flow field
- reconstruction process
- low resolution