Image Enhancement

R. Lenka, A. Khandual, Koustav Dutta, S. Nayak
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Abstract

This chapter describes a novel method to enhance degraded nighttime images by dehazing and color correction method. In the first part of this chapter, the authors focus on filtering process for low illumination images. Secondly, they propose an efficient dehazing model for removing haziness Thirdly, a color correction method proposed for color consistency approach. Removing nighttime haze technique is an important and necessary procedure to avoid ill-condition visibility of human eyes. Scattering and color distortion are two major problems of distortion in case of hazy image. To increase the visibility of the scene, the authors compute the preprocessing using WLS filter. Then the airlight component for the non-uniform illumination presents in nighttime scenes is improved by using a modified well-known dark-channel prior algorithm for removing nighttime haze, and then it uses α-automatic color equalization as post-processing for color correction over the entire image for getting a better enhanced output image free from haze with improved color constancy.
图像增强
本章描述了一种利用消雾和色彩校正方法增强退化夜间图像的新方法。在本章的第一部分中,作者重点研究了低照度图像的滤波过程。其次,他们提出了一种有效的去雾模型来去除雾霾;第三,他们提出了一种色彩一致性方法的色彩校正方法。消除夜间雾霾技术是避免人眼不良能见度的重要而必要的步骤。散射和色彩失真是模糊图像畸变的两个主要问题。为了提高场景的可见性,作者使用WLS滤波器进行了预处理。然后,采用改进的著名的暗通道先验算法对夜间场景中存在的光照不均匀性进行改进,然后采用α-自动色彩均衡后处理对整个图像进行色彩校正,得到更好的无雾增强输出图像,提高了色彩一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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