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CONTRAST ENHANCEMENT ALGORITHMS FOR FOGGY IMAGES

机译:雾图像的对比度增强算法

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摘要

An increasing number of applications are making use of image processing technique. It is a non invasive and robust technique. Images are used in the modern applications such as object and lane detection, traffic surveillance, satellite, military and medical imaging need to have clear images that convey correct information. Capturing of image in fog conditions reduces visibility. It degrades quality and contrast of the image. Contrast of the image can be enhanced using modeling methods. A single foggy image is used as input to this work. Translated exponential functions are implemented to find the atmospheric veil and enhancement of contrast. Single foggy image is used as input to the algorithm that takes into account the exponential decay of the fog. In addition to the translated exponential function, some other algorithms have also been implemented in this work for comparison purpose.
机译:越来越多的应用正在利用图像处理技术。这是一种非侵入性且强大的技术。图像用于现代应用中,例如物体和车道检测,交通监控,卫星,军事和医学成像等,需要清晰的图像来传达正确的信息。在雾天条件下拍摄图像会降低可见度。它会降低图像的质量和对比度。可以使用建模方法来增强图像的对比度。单个模糊图像用作该作品的输入。转换后的指数函数可用于发现大气面纱并增强对比度。单个模糊图像被用作算法的输入,该算法考虑了雾的指数衰减。除了转换后的指数函数外,出于比较目的,在此工作中还实现了一些其他算法。

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