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薄云薄雾影响下目标影像自适应增强
引用本文:黄峰,周旋,周树道,朱福萌.薄云薄雾影响下目标影像自适应增强[J].红外与激光工程,2005,34(3):324-327.
作者姓名:黄峰  周旋  周树道  朱福萌
作者单位:解放军理工大学,气象学院,江苏,南京,211101
摘    要:卫星图像在拍摄过程中,由于云雾等因素影响,导致影像的亮度增加,目标影像对比度和分辨率下降。针对薄云薄雾对卫星图像的影响,提出目标影像的自适应增强算法。实验表明,该算法具有较强的自适应性。提高了薄云薄雾影响下的目标影像的对比度,恢复了该区域的亮度,同时,保持了薄云薄雾影响弱的区域的对比度和亮度,达到了目标影像自适应增强的目的。

关 键 词:自适应  小波变换  图像增强
文章编号:1007-2276(2005)03-0324-04
收稿时间:2004/6/27
修稿时间:2004年6月27日

Adaptive enhancement of object image influenced by cloud and fog
HUANG Feng,Zhou Xuan,ZHOU Shu-dao,ZHU Fu-meng.Adaptive enhancement of object image influenced by cloud and fog[J].Infrared and Laser Engineering,2005,34(3):324-327.
Authors:HUANG Feng  Zhou Xuan  ZHOU Shu-dao  ZHU Fu-meng
Abstract:For the influence of fog and cloud on the satellite images, the object images have a rapid descent in contrast and distinguishability. Pointing at the influence,an adaptive algorithm of object image is brought forward to overcome the degradation. The experimental result clearly shows that the algorithm has a stong adaptability,improves the contrast of the object images influenced by cloud and fog,keeps the contrast and brightness of the non-effect part and achieves the object of adaptive enhancement.
Keywords:Adaptive  Wavelet transform  Image enhancement
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