摘要
Mask匀光算法在光学遥感影像色彩一致性处理中广泛应用。针对传统算法存在滤波器参数确定自适应性差、影像存在反差不一致现象、影像细节信息易损失等缺陷,提出改进算法。该算法结合影像信息与最优化准则自适应确定滤波器参数,对背景进行动态压缩以减小细节信息丢失,自适应调整拉伸参数,解决反差分布不一致现象。对比试验显示,改进算法处理的影像在光照一致性、影像清晰度、反差一致性上均取得较为理想的匀光效果。
Mask dodging algorithm is widely used in color consistency processing of remote sensing imagery.However,the traditional algorithm is deficient in some respects,such as the selection of filter parameters is short of adaptability,image contrast phenomenon exists inconsistency,and image detail information is easy to lost.An improved algorithm is proposed in order to solve these problems.The filter parameters are adaptively selected according to the image information and optimization criteria;the background image is dynamically compressed to reduce the loss of details;the stretching parameters are adjusted adaptively to solve the inconsistency in image contrast.Comparative experiments show that the improved algorithm achieves more satisfactory dodging effect on illumination uniformity,image clarity and contrast consistency.
引文
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