摘要
雾霾天气情况下,视频成像跟踪系统采集到的图像往往呈现对比度低、灰度分布集中的特点,地面的军事人员很难准确、快速地识别跟踪目标,为了解决这一问题,本文以Xilinx公司的Spartan 3AN系列低成本FPGA芯片为核心,设计了高分辨率(1 004×1 004)视频图像实时增强系统,主要工作为系统硬件平台的设计和限制对比度直方图自适应均衡(Contrast Limited Adaptive Histogram Equalization-CLAHE)算法的FPGA实现。通过实际系统测试,设计满足实时性的要求,同时增强效果明显,可以清晰地识别目标。该系统可用于医学图像增强、交通检测及航空航天等多个领域,具有较高的实用价值。
Under fog and haze weather condition, the images collected by real-time video imaging and tracking system often appear with characteristics of low eontrast and centered gray distribution, the target is difficult to be accurately and quickly identified and tracked by military personnel on the ground. In order to solve this problem, the high resolution （ 1 004 × 1 004 ） video image real -time enhancement system, taking the low cost FPGA chip of Spartan 3AN serial of Xilinx company is designed in this paper, the main work includes the system hardware platform is designed and contrast limited adaptive histogram equahzation （CLAHE） en- hancement algorithm is implemented in FPGA. The practical system tests prove that the design meets real-time requirements, enhancement effect is obvious, and the target can be clearly identified. The system can be used for medical image enhancement, traffic detection, aerospace and other fields, it has high practical value.
出处
《电视技术》
北大核心
2015年第20期115-118,共4页
Video Engineering
