基于CLAHE的DSP实时去雾系统  

DSP Real-Time Fog Removal System Based on CLAHE

作　　者：许志远[1] 王庸凯[1] 孙康[1] 张大恒[1] 丁纪铭[1] 王岩[1] 

机构地区：[1]大连海洋大学航海与船舶工程学院,辽宁大连116023

出　　处：《沈阳大学学报（自然科学版）》2014年第4期296-300,共5页Journal of Shenyang University：Natural Science

基　　金：辽宁省教育厅计划项目(L2012265);大连海洋大学校人才引进项目(SYYJ2011005)

摘　　要：为了解决户外监控系统在雾天视频清晰度较低的问题,设计了一种以DSP TMS320DM642为硬件核心,以限定对比度自适应直方图均衡化(CLAHE)为去雾算法的视频实时去雾系统.算法首先将原始图像分割成若干个大小相同的子区域,然后选取特定值截取每个子区域的直方图,并将截取下的像素均匀分配到每个灰度级,最终得到限定对比度直方图.实验结果表明,该系统能够有效提高雾天视频清晰度.In order to solve the problem of the poor video definition of outdoor survelliance system in fog, a real-time video fog removal system is presented. The hardware core of system is DSP TMS320DM642, and the fog removal algorithm is CLAHE. Firtstly, the original histogram is divied into some equal sub-regions in this algorithm. Secondly, the histogram of each sub-region is clipped by a seleetalbe value, and then, the pixels clipped are distributed equally to each gray level. Finally, the new contrast limited histogram is obtained. The experimental results show that the video definition in foggy conditions can be enhanced effectively through our system.

关 键 词：雾 视频清晰度 CLAHE DSP 实时去雾 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]