基于时域矩匹配的红外图像自适应非均匀性校正  

Adaptive Nonuniformity Correction for Infrared Images Based on Temporal Moment Matching

作　　者：冷寒冰[1] 易波[1] 谢庆胜[1] 唐利孬[1] 宫振东 

机构地区：[1]中国科学院西安光学精密机械研究所,陕西西安710119

出　　处：《光学学报》2015年第4期113-118,共6页Acta Optica Sinica

基　　金：国家自然科学基金(61201376);中科院西部之光(Y229E21213)

摘　　要：非制冷红外焦平面阵列的响应非均匀性通常表现出与条带噪声相类似的特性。基于场景的校正算法是提高图像质量,补偿响应特性漂移的有效措施。在深入研究矩匹配理论的基础之上,提出了一种新的时域矩匹配非均匀性校正方法。利用相邻帧矩匹配后的图像对场景的变化列进行估计,并在时间域对校正参数进行自适应更新。利用真实的红外图像序列验证了该算法在收敛速度和去鬼影方面的优越性和有效性。The response nonuniformity of uncooled infrared focal plane arrays is very similar to the stripe noise.Scene-based nonuniformity correction algorithm is an effective way to enhance the image quality and compensate the response drift. Based on the study of moment matching theory, a novel temporal moment matching nonuniformity correction algorithm is proposed. In the proposed algorithm, changing column is identified by the adjacent frames after moment matching, the correction coefficients are updated adaptively in temporal domain.The experimental results with the real infrared video sequences have shown that the proposed algorithm can significantly increase the convergence speed and reduce the ghosting artifacts.

关 键 词：图像处理 红外焦平面阵列 非均匀性校正 时域矩匹配 变化列估计 

分 类 号：TN241[电子电信—物理电子学]