用于户外机器视觉应用的图像对比度增强

M. Wahab, Nasriah Zakaria, R. Latip, R. A. Salam
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引用次数: 1

摘要

如今,户外机器视觉越来越受到关注。从监视和监控系统到驾驶辅助系统等汽车系统,都需要视觉应用或人工眼来持续监控情况。然而,由于大气颗粒降低了视觉系统的质量,大多数这些应用在晴朗天气下工作得很好,在恶劣天气下就会退化。本文讨论了图像增强技术的现状,用于调整被雾、霾和雨退化的室外图像的对比度。简要概述恶劣天气将讨论和一些最近的技术消除雾,雾霾和雨讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image contrast enhancement for outdoor machine vision applications
Outdoor machine vision is getting a concern nowadays. Ranging from surveillance and monitoring system to automotive system such as driver assistance system require vision application or artificial eye to keep monitoring the situations. However, most of these applications works very well during clear weather and degrade during bad weather due to the atmospheric particles mitigate the quality of vision system. This paper discuss the state of the art of image enhancement techniques used to adjust the contrast of an outdoor image degrade by fog, haze, and rain. A brief overview of bad weather will be discussed and several recent techniques on removing fog, haze and rain are discussed.
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