基于MASK算法的遥感影像匀光处理研究

Study of remote sensing image dodging based on MASK algorithm

针对现有的MASK匀光算法不足现象,提出一种针对MASK结果影像的梯度拉伸算法,实验证明:与2%线性拉伸和对比度参数拉伸相对比,该算法在解决遥感影像亮度分布不均匀问题的同时,保障影像的清晰度,增强细节反差,达到很好的匀光效果。

Aiming at the shortage of the existing MASK dodging algorithm,a gradient stretch algorithm for MASK image is proposed.Experiments show that,comparing with the2%linear stretch and contrast parameter stretching,the algorithm can solve the problem of uneven distribution of remote sensing image brightness.At the same time,it canguarantee the sharpness of the image,enhance the contrast of details,reach good effect of dodging.