第24卷第4期 2016年4月
文章编号
1004924X(2016)04-0892-10
光学精密工程
Optics and Precision Engineering
Vol. 24No. 4
Apr.2016
针对明亮区域的自适应全局暗原色先验去
邓莉
（桂林航天工业学院广西高校无人机遥测重点实验室，广西雁冰51004）
摘要：针对暗原色先验去雾算法对明亮区域失效，以及分块求取暗原色存在的块状效应VHalo现象和运算复杂度较高等问题，提出了一种基于自适应参数的全局暗原色先验去雾算法。该算法采用全局暗原色操作取代分块处理，并通过模糊逻辑控制器自适应估计明亮区域的容差参数和透射率调整因子；在非明亮区减求取大气光强度后，根据自适应容差纠正明亮区域被错误估计的透射率。与常用的3种图像复原去雾算法每行人转给果表明：该算法去雾图像的主观视觉效果较好，且图像对比度、信息摘和平均梯度3方面的客观评价结果也明要优其它3种对比算法。该算法可有效解决明
亮区域失真和分块处理带来的上述问题，在不增加曝光处理情妃又必能获得整好的关键调：图像云雾：全局暗原色先验；模棚逐释控制；嘎允区城；进应求善
中图分类号：TP751;TP391.4
文献标识码：A
专募效果，运算效率也有较大提升。
Q03788XQPE.2Q162
204.0892
Adaptiveimagedepazingforbrightareas
basedonglobaldarkchannelprior
(Guangri Colleges and UniversitieKfyLaborptoryof UnmannedAerial Vehicle (UAV)Telemetry,
Guilin University
AS
eTechnology,Guilin541004,China)
*Correspondinggutiks
r,E-mail:dengli@guat.edu.cn
Abstract:An adaptive image
Mehgzing afgorithm based on global dark channel prior was proposed to
solve the invalidation o(originas dakk channel prior aigorithm in bright areas and problems of block effect,Halo effect apdhish&
aputational complexity.In this method,the blocking operation was com
substituted by a gbal darkchannel operation, and the fuzzy logic controller was used to estimate a daptively the threhoxd of bright areas and the adjustment factor of transmission. After the atmos-
pheric light was e
tigat&d in non-bright areas, the miscalculated transmission in bright areas was cor-
rected accordig p-the adptive tolerance. The algorithm was compared with three kinds of image res-
gehazingalaorithms. Experiment results show that the algorithm shows a good subjective vis
toration
ual eff cor dehaziyg images, and the objective evaluation criteria, image contrast, information en-tropy an& average gradient are also superior in performance to those of the other algorithms compared. It Soncludes thyt the presented method effectively eliminates the distortion in bright areas and solve
problems caused by blocking, and the visibility of dehazing image and the operating efficien
rheakowe
收日期：2015-11-03；修订日期：2016-02-02.
基金项目：广西教育厅高校科研项目（No，YB2014435，No.YB2014437，No.2013LX169，No.ZD2014146，No
YB2014434，No.LX2014471)；广西高校无人机遥测重点实验室科研基金资助项目（No.WRJ2015ZR01， No.WRJ2015ZR04）；桂林航天工业学院科研基金资助项目（No.Y12Z034，No.Y12Z033，No.Y12Z032）