| 自适应Split Bregman迭代的红外图像降噪算法 |
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| 引用本文： | 王宇,汤心溢,罗易雪,王世勇. 自适应Split Bregman迭代的红外图像降噪算法[J]. 红外与毫米波学报, 2014, 33(5): 546-551 |
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| 作者姓名： | 王宇 汤心溢 罗易雪 王世勇 |
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| 作者单位： | 中国科学院上海技术物理研究所,上海,200083 |
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| 基金项目： | 国家863计划资助项目，基金号：2011AA7031002G; 国家十二五国防预研项目，基金号：41101050501 |
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| 摘 要： | 对于全变分降噪模型,Split Bregman算法收敛快而且具有较好的降噪效果.通过研究Split Bregman算法,提出了一种自动调节拉格朗日乘子和罚参数的自适应Split Bregman算法.实验结果表明,新方法与传统Split Bregman算法相比具有更快的收敛速度,同时能在保持红外图像边缘特性的前提下有效地去除噪声.
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| 关 键 词： | 红外图像降噪 全变分模型 迭代 |
| 收稿时间： | 2013-05-10 |
| 修稿时间： | 2013-05-28 |
IR image denoising algorithm based on adaptive split bregman method |
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| WANG Yu,TANG Xin-Yi,LUO Yi-Xue and 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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| Authors: | WANG Yu TANG Xin-Yi LUO Yi-Xue WANG Shi-Yong |
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| 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 |
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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 is 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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| Keywords: | Infrared image denosing, total variation model, Bregman iteration |
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