图像去雾使用增强技术

N. Sangeetha, K. Anusudha
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引用次数: 8

摘要

数字图像处理技术通常用于增强图像以从中提取有用信息。在雾霾天气下,视觉系统获取的图像质量严重下降,影响目标的检测、跟踪和识别。退化后的图像对比度降低,局部信息丢失。因此,从如此模糊的图像中还原真实场景具有重要意义。本文重点研究了利用各种增强技术增强雾天图像的对比度和可见度。基于标准参数对所提技术的性能进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image defogging using enhancement techniques
Digital image processing techniques are commonly used to enhance an image to extract the useful information from it. Images acquired by a visual system are seriously degraded under hazy and foggy weather, which will affect the detection, tracking, and recognition of targets. The degraded images have reduced contrast and the local information is lost. Thus, restoring the true scene from such a foggy image is of significance. The paper focuses on enhancing the contrast and visibility of the foggy image by using various enhancement techniques. The performance of the proposed techniques are analyzed based on standard parameters.
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