An Improved Fog-Degrading Image Enhancement Algorithm Based on the Fuzzy Contrast

Huiyan Liu, Wenzhang He, R. Liu
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引用次数: 5

Abstract

This paper constructs a fuzzy contrast enhancement algorithm and then combination with mathematical morphology to improve the fog blurred images which captured in bad weather. In this algorithm, we improve the membership function of fuzzy domain and its inverse operation. Meanwhile, we define a new more effective function which can calculate the pixel gray membership function after enhanced. Experimental results show that the contrast and clarity of images are much improved after they are processed by the algorithm which proposed in this paper, and it effectively improves the gray and blocking effect which arises in the sky region and the visual quality of the whole image significantly.
一种改进的基于模糊对比度的降雾图像增强算法
本文构造了一种模糊对比度增强算法,并结合数学形态学对恶劣天气下的雾模糊图像进行了改进。在该算法中,我们改进了模糊域的隶属函数及其逆运算。同时,我们定义了一个新的更有效的函数,该函数可以计算增强后的像素灰度隶属函数。实验结果表明,本文提出的算法处理后的图像对比度和清晰度都有很大提高,有效地改善了天空区域出现的灰度和块效应,显著提高了整个图像的视觉质量。
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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