摘要
匀光处理是消除光学遥感影像中亮度和色彩分布不均匀现象的过程。经典的Wallis算法仅用于保持两幅或多幅影像间的色调和亮度一致性。这里提出了一种用于单幅影像匀光的Wallis算法,讨论了从待处理影像中选择校正标准的方法;同时利用以像点为中心的局部参数统计值代替分块参数值,有效地避免了"分块效应"。通过实验并与现有Retinex匀光算法进行比较,结果表明改进后的Wallis算法能够有效减小图像反差,取得更好的匀光效果。
Dodging technique is used to solve the uneven distribution of color and brightness in remote sensing images.Classic Wallis algorithm is only suitable for keeping color and brightness consistency between two or more images.An advanced Wallis algorithm for single image dodging was proposed.In this algorithm,block parameters were replaced by local parameters to overcome the block effect.The method to select the standard image from the original image were also discussed.At last,this algorithm was compared with Retinex algorithm through experiments and the result showed that the advanced Wallis algorithm could reduce the image contrast effectively and got a better dodging effect.
出处
《测绘科学技术学报》
北大核心
2012年第5期373-377,共5页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41071296)
