On the Complexity of Mumford-Shah-Type Regularization, Viewed as a Relaxed Sparsity Constraint.
Boris AlexeevRachel WardPublished in: IEEE Trans. Image Process. (2010)
Keyphrases
- mumford shah
- mumford shah functional
- sparsity constraints
- bayesian estimation
- piecewise smooth
- piecewise constant
- image segmentation
- curve evolution
- variational framework
- total variation
- image deblurring
- level set method
- computational complexity
- sparse representation
- energy functional
- level set
- negative matrix factorization
- shape prior
- pairwise
- image restoration
- vector valued
- optimal solution
- image denoising
- nonnegative matrix factorization
- active contours
- data points
- multiscale
- feature extraction
- computer vision