Title
A fourth order dual method for staircase reduction in texture extraction and image restoration problems
Abstract
We propose a novel fourth order dual method for the minimization of the non-smooth semi-norm ∥Δ·∥1 when in amalgamation with a new staircase reducing texture decomposition model of image processing. The proposed model incorporating this high order energy is a variant of the Chambolle Lions denoising model that additionally utilizes a negative Sobolev norm. We claim that the dual method is faster and more stable than the current gradient descent time marching algorithms often used to minimize such energies. Moreover, a proof of convergence of the proposed method, in conjunction with the new model, will be provided. Lastly, we provide guidelines on how the new energy and proposed framework can be naturally incorporated into many popular texture extraction and restoration models of image processing.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5653199
Image Processing
Keywords
Field
DocType
image denoising,image restoration,image texture,Chambolle Lions denoising model,Sobolev norm,amalgamation,fourth order dual method,image processing,image restoration,staircase reduction,texture extraction,Meyer norms,Total variation,dual methods,staircase reduction,texture removal
Noise reduction,Convergence (routing),Computer vision,Gradient descent,Pattern recognition,Image texture,Computer science,Sobolev space,Image processing,Minification,Artificial intelligence,Image restoration
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-7993-1
978-1-4244-7993-1
28
PageRank 
References 
Authors
1.56
5
3
Name
Order
Citations
PageRank
Tony F. Chan18733659.77
Selim Esedoglu2100049.59
Frederick E. Park3974.85