DocumentCode
1580095
Title
Total variation image restoration: numerical methods and extensions
Author
Blomgren, Peter ; Chan, Tony F. ; Mulet, Pep ; Wong, C.K.
Author_Institution
Dept. of Math., California Univ., Los Angeles, CA, USA
Volume
3
fYear
1997
Firstpage
384
Abstract
We describe some numerical techniques for the total variation image restoration method, namely a primal-dual linearization for the Euler-Lagrange equations and some preconditioning issues. We also highlight extension of this technique to color images, blind deconvolution and the staircasing effect
Keywords
deconvolution; image colour analysis; image restoration; iterative methods; linearisation techniques; variational techniques; Euler-Lagrange equations; blind deconvolution; color images; interpolation; iterative solution; numerical methods; preconditioning; primal-dual Newton linearization technique; primal-dual linearization; staircasing effect; total variation image restoration; variational formulation; Color; Convolution; Image restoration; Lagrangian functions; Least squares methods; Mathematics; Nonlinear equations; TV; Transforms; Vision defects;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.632128
Filename
632128
Link To Document