自适应Split Bregman迭代的红外图像降噪算法

王宇; 汤心溢; 罗易雪; 王世勇

doi:doi:10.3724/sp.j.1010.2014.00546

红外与毫米波学报, 2014, 33 (5): 546, 网络出版: 2014-11-06

自适应Split Bregman迭代的红外图像降噪算法

IR image denoising algorithm based on adaptive split bregman method

论文大纲

王宇 ^*汤心溢罗易雪王世勇

作者单位

中国科学院上海技术物理研究所, 上海 200083

红外图像降噪全变分模型迭代 Infrared image denosing total variation model iteration

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.

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.

参考文献

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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. 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.

自适应Split Bregman迭代的红外图像降噪算法

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