http://iet.metastore.ingenta.com
1887

Adaptive non-convex total variation regularisation for image restoration

Adaptive non-convex total variation regularisation for image restoration

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

An adaptive non-convex total variation regularisation is proposed for blind image restoration. A flux corrected transport (FCT) technique is used to obtain a stable numerical scheme, where a spatially varying constraint allows a better restoration of image edges and fine detail. Finally, its advantages are shown in deblurring edges, denoising and restoring fine details of image simultaneously in experiments.

References

    1. 1)
      • T. Chan , J. Shen . (2005) Image processing and analysis: variational, PDE, wavelet, and stochastic methods.
    2. 2)
      • A. Tikhonov , V. Arsenin . (1977) Solutions of Ill-posed problems.
    3. 3)
    4. 4)
      • S. Fu , Q. Ruan , W. Wang , F. Gao , H. Cheng . A feature-dependent fuzzy bidirectional flow for adaptive image sharpening. Neurocomputing , 883 - 895
    5. 5)
      • G. Gilboa . Nonlinear scale space with spatially varying stopping time. IEEE Trans. Pattern Anal. Mach. Intell. , 12 , 2175 - 2187
    6. 6)
      • S. Osher , R. Fedkiw . (2002) Level set methods and dynamic implicit surfaces.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2010.0027
Loading

Related content

content/journals/10.1049/el.2010.0027
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address