Image restoration and segmentation using the Ambrosio-Tortorelli functional and Discrete Calculus.
Marion FoareJacques-Olivier LachaudHugues TalbotPublished in: ICPR (2016)
Keyphrases
- image restoration
- mumford shah functional
- mumford shah
- total variation
- regularization term
- image deblurring
- piecewise smooth
- regularization parameter
- level set
- vector valued
- edge preserving
- gaussian noise
- shape prior
- image processing
- energy functional
- piecewise constant
- markov random field
- super resolution
- image segmentation
- motion segmentation
- curve evolution
- region growing
- active contour model
- blurred images
- point spread function
- mumford shah model
- segmentation algorithm
- bayesian estimation
- multiscale
- deformable models
- image gradient
- computer vision
- level set method
- motion blur
- partial differential equations
- segmentation method
- energy function
- image compression
- edge detection
- random fields
- graph cuts
- natural images
- wavelet transform
- motion estimation
- shape model
- cross validation