IR image denoising algorithm based on adaptive split bregman method
Author:
Affiliation:

Shanghai Institute of Technical Physics of the Chinese Academy of Sciences,Shanghai Institute of Technical Physics of the Chinese Academy of Sciences,Shanghai Institute of Technical Physics of the Chinese Academy of Sciences,Shanghai Institute of Technical Physics of the Chinese Academy of Sciences

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Split Bregman method, which can converge quickly and denoise very well, is considered to be an extremely efficient method for total variation denosing model. By studying Split Bregman method, an adaptive Split Bregman method which can adjust Lagerange multiplier and penalty parameter automatically was proposed. Experimental results show that the new method can not only converge faster than the traditional Split Bregman method, but also preserve the edge information while removing noises.

    Reference
    Related
    Cited by
Get Citation

WANG Yu, TANG Xin-Yi, LUO Yi-Xue, WANG Shi-Yong. IR image denoising algorithm based on adaptive split bregman method[J]. Journal of Infrared and Millimeter Waves,2014,33(5):546~551

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 10,2013
  • Revised:May 28,2013
  • Adopted:June 07,2013
  • Online: November 12,2014
  • Published: