Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction.
Marcelo Victor Wüst ZibettiElias S. HelouEduardo X. MiquelesAlvaro R. De PierroPublished in: ICIP (2015)
Keyphrases
- high resolution
- tomographic image reconstruction
- denoising
- line search
- optimization problems
- learning algorithm
- image processing
- computational complexity
- convergence rate
- image denoising
- input image
- computationally demanding
- global convergence
- wavelet domain
- computationally expensive
- neural network
- cost function
- multiresolution
- objective function
- feature selection
- computer vision
- genetic algorithm