IR image denoising algorithm based on adaptive split bregman method
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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

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    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.

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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

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History
  • Received:May 10,2013
  • Revised:May 28,2013
  • Adopted:June 07,2013
  • Online: November 12,2014
  • Published:
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