摘要常情况下我们需要使用的图像都要求清晰明亮便于我们的观察，但是如果实在雾霾的天气环境下，我们获得的照片会变得模糊不清不便于观察，这会很严重地影响图像的参考价值和实际应用价值。在当今社会的各项领域下，视频检测技术被越来越多的运用，对其系统的适用性的要求也要随之提高。为了能够在雾霾，暴雨，暴雪沙尘暴等恶劣的天气环境下监测系统仍然能够稳定的工作，对在雾天，雨雪等弱可视环境天气环境下的数字图像清晰化的技术进行研究有着十分重要的意义。79912

    本文主要研究的是如何让被雾霾影响的图像恢复其本来清晰的面目，论文首先把处理雾霾图片的方法分为两个大类理， 一类是采用图像增强即灰度直方图均衡化技术的处理方法，另一类是图像的复原技术的处理方法。随后本论文对实际应用中的处理方法进行了探讨。本文雾霾的图片进行清晰化。主要应用了直方图均衡化的处理方法。灰度变换是数字图像处理与分析中增强图像的一种重要方法，它可以用于改善图像的显示效果，属于空域处理方法，他可以使图像动态范围加大，使图像对比度扩展，图像更加清晰，特征更加明显。

    本篇论文的研究主要利用的是计算机技术和图像处理技术来提升雾霾天下图片的清晰度，对于在户外可能遇到的雾霾等恶劣天气下的弱可视环境下的监测系统时得到图像的清晰度，信息的准确性有巨大的提高，可以避免一些不必要发生的安全事故和一些大自然的，并且这对于进行其他恶劣天气环境下比如沙尘暴，图像的清晰化处理也有一定的促进意义。

     该论文有图15幅，表26个，参考文献160篇。

毕业论文关键词：雾霾，清晰化，Retinex，灰度直方图均衡化。 

Image clarity technology in weak visual environment

Abstract Normally we need to use image are required to clear and bright for our observations, but if you really haze weather conditions, we obtain the photos will become blurred not easy to observe, which will seriously affect the image of the reference value and practical application value。 In the field of today's society, video detection technology is used more and more, and the application of the system is also required to be improved。 In order to can in the haze and rain, Blizzard dust storms and other adverse weather conditions monitoring system can still stabilize the work, to study in the fog, rain, snow and weak visual environment weather environment of digital image clearness technique has a very important significance。

Is mainly studied in this paper is how to make the affected by the haze of image restoration of the originally clear face。 Firstly, the method of image processing of haze is pided into two major categories, one is the image enhancement processing method of gray level histogram equalization technology, another is image restoration technology。 Then this thesis discusses the methods of the practical application。 In this paper, a picture of the fog and haze。 Mainly used the histogram equalization processing method。 Gray level transformation is the digital image processing and analysis in image enhancement is an important method, it can used to improve the image display effect, belongs to the spatial processing method, he can increase the dynamic range image, the expansion of the image contrast, image clarity, features more obvious。

Research of this thesis mainly based on computer technology and image processing technology to improve the sharpness of haze pictures all over the world, for that may be encountered in outdoor haze weather weak visual environment monitoring system by the image clarity and accuracy of the information has greatly improved, can avoid some unnecessary accidents occurred and some nature of, and the other severe weather conditions, such as sandstorms, clear image processing also certain promotion。