Fast Source Reconstruction for Bioluminescence Tomography Based on Sparse Regularization.
Jingjing YuFang LiuJiao WuLicheng JiaoXiaowei HePublished in: IEEE Trans. Biomed. Eng. (2010)
Keyphrases
- image reconstruction
- compressed sensing
- tomographic reconstruction
- inverse problems
- discrete tomography
- compressive sensing
- signal reconstruction
- limited angle
- iterative reconstruction
- sparsity regularization
- reconstructed image
- structured sparsity
- rank minimization
- binary matrices
- mixed norm
- random projections
- regularized least squares
- elastic net
- reconstruction method
- sparse approximation
- super resolution
- reconstruction process
- sparsity constraints
- high dimensional
- sparse representation
- scan data
- group lasso
- image formation
- sparsely sampled
- sparse data
- regularization methods
- phase unwrapping
- regularization parameter
- regularization term
- reproducing kernel hilbert space
- shape recovery
- multi view