基于直方图优化的图像去雾方法研究摘要随着计算机技术的发展，视觉设备广泛应用于军事和民用交通等方面。在雾霾天气的状况下视觉设备获取原始信息收到干扰，图像或者视频的质量衰退，严重影响了原始数据的特征提取，使得数据的利用价值下降导致相关工作无法进行。同时，图像雾化理论涉及光学，大气科学，图像处理等学科的理论知识。因此，图像具有重大的现实意义和学术价值。本文主要从以下几个方面进行展开：首先，总结了国内外的图像去雾技术的发展现状，然后对本文研究的图像去雾技术的相关基本理论进行阐述，例如：直方图均衡化，同态滤波器，Retinex理论，为后文深入研究图像去雾技术奠定了理论基础。其次研究了相关理论知识的有关算法，在图像增强的算法中重点研究了直方图均衡化算法，并在最后一章中对各种算法进行了仿真模拟得出相应的结果，最后分析各种算法的优缺点和不足之处。关键词:单幅图像去雾，图像增强，直方图均衡，Retinex理论StudyonimagedemoggingmethodbasedonhistogramoptimizationabstractWiththedevelopmentofcomputertechnology,visualequipmentiswidelyusedinmilitaryandciviliantransportation.Undertheconditionsofhazeweather,thevisualequipmentobtainstheoriginalinformationandthequalityoftheimageorvideoisdeclining,whichseriouslyaffectstheextractionoftheoriginaldata,makingtheuseofthedatadecliningsothattherelevantworkcannotbecarriedout.Atthesametime,thetheoryofimageatomizationinvolvesthetheoreticalknowledgeofoptics,atmosphericscience,imageprocessingandotherdisciplines.Therefore,theimagehasgreatpracticalsignificanceandacademicvalue.Thisarticlemainlydevelopsfromthefollowingaspects:First,thepapersummarizesthecurrentdevelopmentofimagefogremovaltechnologyathomeandabroad,andthenexpoundstherelatedbasictheoriesofimagefogremovaltechnologystudiedinthispaper,suchas:histogramequalization,homomorphicfilter,Retenextheory,Itlaysatheoreticalfoundationforthefurtherstudyofimagefogremovaltechnology.Secondly,therelatedalgorithmsofrelatedtheoreticalknowledgearestudied.Inthealgorithmofimageenhancement,histogramequalizationisemphasized.Keywords:singleimagedefogging,imageenhancement,histogramequalization,Retinixtheory目录第一章绪论......................................................................................................................................................11.1课题研究的背景和意义.........................................................................................................................11.2国内外研究现状.....................................................................................................................................11.3本文主要内容及结构安排.....................................................................................................................1第二章图像去雾的基础理论............................................................................................................................32.1直方图均衡化........................................................................................................................................32.2同态滤波器............................................................................................................................................32.3Retinex理论............................................................................................................................................32.4本章小结............................................................................................................................................
