基于空间关系的FPA非均匀校正算法

摘要

提出了一种基于相邻图像空间变换关系的场景校正（SBNUC）算法。该算法利用相邻图像空间变换关系,将前一帧已校正的像元灰度组合为当前帧所期望的像元灰度,再以误差梯度迭代修正偏置和增益。理论上证明了在未加其他条件的情况下,该算法能够防止鬼影现象。红外图像序列校正结果显示,该算法在保证图像锐度的情况下,降低了FPA非均匀的高频信息,从而增强了图像对比度,同时自动补偿坏点。理论和实验结果证明了该算法的有效性和稳定性。%A new scene-based nonuniformity correction （SBNUC） algorithm using spatial transform relation- ship between adjacent image frames is proposed. Based on spatial transform relationship between adjacent image frames, the gray value of current frame can be got by the weighted combination of some corrected pixels in the former frame. Moreover the gain and the offset are adaptively updated with the respective error gradient. The algorithm can avoid ghosting artifacts without considering other conditions. Corrected results of real infrared image se- quences show that under the condition of ensuring image sharpness, the algorithm can decrease FPA nonuniformity high frequency information for increasing the image contrast, meanwhile bad pixels can be compensated automatically. This algorithm is proved to be stable and robust theoretically and practically.