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出 处:《遥感信息》2013年第3期8-13,共6页Remote Sensing Information
基 金:国家863计划资助项目(2006AA12Z136);国家科技支撑计划资助项目(2006BAJ09B01)
摘 要:基于Mask原理的遥感影像匀光算法对于消除单幅影像内部的光照不均匀现象有较好的效果。但是,这个算法仍然存在一些问题,例如,对于如何自适应确定最佳的滤波器尺寸来获取背景影像,如何选择合适的模型来拉伸减运算后的结果影像,目前都没有较好的解决办法。针对这些问题,本文提出了改进算法。将原始影像进行分块处理,对于清晰度不同的影像块,采用不同截止频率的低通滤波器来获取背景影像;对于减运算后的结果影像,对亮度不同的区域采用不同尺度的线性拉伸模型。实验显示改进后的算法比原有算法的匀光效果更好,并且可以实现匀光后整张影像反差分布的一致性。The remote sensing image dodging algorithm based on Mask technique is a good method for removing the uneven lightness within a single image. However,there are some problems with this algorithm,such as how to set an appropriate filter size to acquire the background image,and how to design an appropriate model to stretch the image after subtraction, for which there is no good solution. In order to solve these problems, an improved algorithm is proposed. In this improved algorithm, the o- riginal image is divided into blocks,and then the image blocks with different definitions are smoothed using the low-pass filters with different cut-off frequencies to get the background image for the image after subtraction,the regions with different light- ness are processed using different linear transformation models. The experiment showed that the improved algorithm can get a better dodging result than the original one,and can make the contrast of the whole image more consistent.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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