图像去雾算法实验的设计与实现  

Design and Implementation of the Experiment of Image Defogging Algorithm

作　　者：李秋璇 张梓萌 张衡[2] 许超[1] LI Qiuxuan;ZHANG Zimeng;ZHANG Heng;XU Chao(School of Physics,Liaoning University,Shenyang 110036,China;Practical Training Center for Liberal Arts,Liaoning University,Shenyang 110036,China)

机构地区：[1]辽宁大学物理学院,辽宁沈阳110036 [2]辽宁大学文科综合实训教学中心,辽宁沈阳110036

出　　处：《现代信息科技》2023年第3期37-40,共4页Modern Information Technology

基　　金：中国高等教育学会专项课题(2020SYD07,21SYYB12);辽宁省档案科技项目(2021-X-015);辽宁省教育科学“十三五”规划2020年度一般课题(JG20DB197);辽宁大学教学改革立项真实问题项目(JG2020ZSWT012);国家级大学生创新创业计划项目(D202011251244328822)。

摘　　要：实验小组将企业行业的真实问题与数字图像处理实验相结合,针对图像资料因有雾、不清晰情况而无法匹配比对问题,在课程讲授暗通道先验算法的基础上,通过比较算法、设计方案、编程实践、实验数据对比等环节,开展了图像去雾算法的创新实验。实验结果证明了实验小组设计方案具有良好的去雾效果。这种将课程教学与行业真实问题相结合的人才培养模式,扭转教学、科研、服务社会脱节的现状,建立了真实问题导向下人才培养、科学研究、服务社会相互贯通的一体化新机制。The experimental group combines the real problems of the enterprise industry with the digital image processing experiment.Aiming at the problem that the image data can not be matched and compared due to fog and unclear conditions,on the basis of the dark channel prior algorithm taught in the course,through the comparison algorithm,design scheme,programming practice,experimental data comparison and other links,the innovative experiment of image defogging algorithm is carried out.The experimental results show that the design scheme designed by the experimental group has good defogging effect.This talent training mode,which combines course teaching with real problems in the industry,reverses the current situation of disconnection among teaching,scientific research,and service society,and establishes a new integrated mechanism that integrates talent training,scientific research,and service society under the guidance of real problems.

关 键 词：去雾算法 创新实验 暗通道先验 图像处理 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] G642[自动化与计算机技术—计算机科学与技术]