• Journal of Infrared and Millimeter Waves
  • Vol. 33, Issue 5, 546 (2014)
WANG Yu*, TANG Xin-Yi, LUO Yi-Xue, and WANG Shi-Yong
Author Affiliations
  • [in Chinese]
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    DOI: 10.3724/sp.j.1010.2014.00546 Cite this Article
    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 Copy Citation Text show less

    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.
    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
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