基于时空估计的冷像校正方法  

An narcissus effect correction method based on spatial and time domain estimation

作　　者：魏伟 向伟[1,3,4] 赵耀宏[1,3,4] Wei Wei;Xiang Wei;Zhao Yaohong(Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Opto-Electronic Information Processing,Chinese Academy of Sciences,Shenyang 110016,China;The Key Lab of Image Understanding and Computer Vision,Liaoning Province,Shenyang 110016,China)

机构地区：[1]中国科学院沈阳自动化研究所,辽宁沈阳110016 [2]中国科学院大学,北京100049 [3]中国科学院光电信息处理重点实验室,辽宁沈阳110016 [4]辽宁省图像理解与视觉计算重点实验室,辽宁沈阳110016

出　　处：《红外与激光工程》2018年第6期226-233,共8页Infrared and Laser Engineering

基　　金：中国科学院国防创新基金(CXJJ-15-S109)

摘　　要：冷像是影响制冷型红外探测器成像质量的重要因素。虽然可以通过非均匀校正技术进行去除,但当校正后的工作条件发生改变时,冷像的影响又会显现出来。根据冷像产生的机理以及频率特点,提出了一种基于时空估计的冷像校正算法。首先,通过使用小波分解与重构对原始图像进行冷像噪声空间域估计;然后,利用自适应时域低通滤波获得冷像噪声的时间域估计;最后,利用原始图像与获得的冷像估计噪声做差完成校正过程。使用仿真和实际的红外图像序列进行实验,结果表明所提算法能够有效地去除冷像噪声。Narcissus effect was an important factor that influence the imaging quality of the cooled infrared detector. Although it can be removed by non-uniform correction techniques, narcissus effect will reappear once the operating conditions have changed. Through analyzing the manifestation of narcissus effect, a correction algorithm based on adaptive spatial-temporal filtering was proposed. First, spatial domain estimation of Narcissus effect was captured by wavelet transform. Then, time domain estimation of Narcissus effect was gained by adaptive time domain low-pass filtering. Finally, the correction was applied by subtracting the estimated spatial-temporal noise from the original image. Experimental results on simulated and actual infrared image sequences have verified the effectiveness of the proposed algorithm.

关 键 词：冷像 非均匀校正 小波分解与重构 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]