Sobolev gradients and joint variational image segmentation, denoising, and deblurring.
Miyoun JungGinmo ChungGanesh SundaramoorthiLuminita A. VeseAlan L. YuillePublished in: Computational Imaging (2009)
Keyphrases
- denoising
- image segmentation
- image processing
- image denoising
- total variation
- noisy images
- basis pursuit
- wavelet domain
- natural images
- total variation regularization
- denoising algorithm
- multiscale
- markov random field
- split bregman method
- active contours
- gray level
- region growing
- noise removal
- level set method
- segmentation method
- computer vision
- graph cuts
- regularization term
- gaussian noise
- geodesic active
- level set
- image deconvolution
- frequency domain
- shape prior
- segmentation algorithm
- framework for image segmentation
- image deblurring
- watershed segmentation
- deformable models
- energy functional
- curve evolution
- image interpolation
- level set framework
- energy minimization
- high resolution
- energy function