电讯技术2017，Vol.57Issue(1)：83-89,7.DOI:10.3969/j.issn.1001-893x.2017.01.014
机场跑道图像去雾增强算法及其实现
An Airport Runway Images Defogging Algorithm and Its Implementation
摘要
Abstract
Due to the atmospheric scattering, images obtained under bad weather conditions like fog and haze have low contrast,degraded color,and blurring object features. Low quality images directly affect the detection and recognition of foreign objects and debris,thus result in potential security risks. To solve a-bove problems,the improved guided filtering based on the bilinear interpolation and median filtering is pro-posed. This method enhances the image contrast and improves processing speed,and it is beneficial for the detection and recognition of foreign object and debris. The simulation results show that the processing speed of the improved guided filtering algorithm is improved by 2~3 times compared with the existing algo-rithms,and the color distribution graph of the image is wider and the color histogram of the image is more uniform. The proposed algorithm has good edge preserving and good guidance in detail enhancement. Sub-sequently,the improved guided filtering is transplanted to digital signal processor( DSP) to meet the re-quirements of practical engineering applications.关键词
图像去雾/异物检测/双线性插值/中值滤波Key words
image defogging/detection of foreign objects and debris/bilinear interpolation/median filtering分类
信息技术与安全科学引用本文复制引用
陈清早,李想,余化鹏..机场跑道图像去雾增强算法及其实现[J].电讯技术,2017,57(1):83-89,7.基金项目
四川省科技计划项目(2016RZ0070) （2016RZ0070）
四川省教育厅项目(15ZA0357) （15ZA0357）
