A non-negative quadratic programming approach to minimize the generalized vector-valued total variation functional.
Paul RodríguezPublished in: EUSIPCO (2010)
Keyphrases
- total variation
- quadratic programming
- vector valued
- mumford shah functional
- denoising
- image restoration
- wavelet packet
- image denoising
- regularization term
- linear programming
- convex optimization
- image processing
- scale space
- ls svm
- natural images
- support vector machine
- matrix valued
- high resolution
- super resolution
- knn
- training set
- reproducing kernel hilbert space
- training data
- learning algorithm