基于阈上随机共振的弱信号双色中波红外图像融合  

Fusion of dual color MWIR images with weak signal based on suprathreshold stochastic resonance

作　　者：蔺素珍[1,2] 杨风暴[1,2] 吉琳娜[1,2] 李香亭[1,2] 李盼[1,2] 

机构地区：[1]中北大学电子测试技术国家重点实验室,山西太原030051 [2]中北大学仪器科学与动态测试教育部重点实验室,山西太原030051

出　　处：《红外与毫米波学报》2011年第6期546-550,共5页Journal of Infrared and Millimeter Waves

基　　金：中北大学科学基金(20090604);电子测试技术国家重点实验室基金(201003);山西省研究生创新基金(20103082);山西省自然科学基金(2011011015-1);光电成像技术与系统教育部重点实验室开放基金(2010OEIOF16)

摘　　要：提出了基于阈上随机共振的弱信号双色中波红外图像融合方法.利用阈上随机共振分别增强两幅图像的弱信号,通过中值滤波对图像降噪,然后对降噪图像进行支持度变换融合,得到信息丰富、细节明显的融合图像.实验结果表明,融合图像的局部标准差提高了247.7%、局部熵提高了45.52%、峰值信噪比分别提高了6.71%和6.65%,证明了该方法的有效性.A method on fusion of dual color mid-wave infrared（MWIR） images with weak signal is presented based on suprathreshold stochastic resonance（SSR）.The weak signals of two images are enhanced by SSR respectively,and the noise of images is reduced with median filter.Then images denoised are fused by support value transform（SVT）,and fusion image with more information and clear details is obtained.The experimental results show that local standard deviation,local entropy and peak signal to noise ratios of images obtained by the method proposed increase 247.7%,45.52%,6.71% and 6.65%,respectively.The validity of the method proposed is proved.

关 键 词：中波红外 图像融合 弱信号处理 阈上随机共振 

分 类 号：TN219[电子电信—物理电子学]