薄云薄雾影响下目标影像自适应增强  

Adaptive enhancement of object image influenced by cloud and fog

作　　者：黄峰[1] 周旋[1] 周树道[1] 朱福萌[1] 

机构地区：[1]解放军理工大学气象学院,江苏南京211101

出　　处：《红外与激光工程》2005年第3期324-327,共4页Infrared and Laser Engineering

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。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.

关 键 词：自适应 小波变换 图像增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]