图像去雾和增强:综述

Mohit Verma, P. Verma
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引用次数: 0

摘要

图像增强是一种根据特定需要突出某些图像信息,同时弱化或去除不需要信息的图像处理方法。在计算机和机器视觉领域,模糊和雾会通过不同的退化机制导致图像的退化,包括对比度衰减、模糊和像素退化。这限制了机器视觉系统的效率,如视频监控,目标跟踪和识别。设计了不同的暗通道单幅图像去雾算法来快速有效地解决图像去雾问题。这些算法依赖于暗通道理论来估计大气光,这是一个重要的消雾参数。本文对图像去雾和增强技术进行了综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Dehazing and Enhancement: A Review
The enhancement of images is an image processing method that highlights certain image information according to specific needs and, at the same time, weakens or removes unwanted information. In the field of computer and machine vision, haziness and fog lead to degradation of images using different degradation mechanisms, including contrast attenuation, blurring, and degradation of the pixels. This limits machine vision systems efficiency such as video monitoring, target tracking, and recognition. Different dark channel single image dehazing algorithms have been designed quickly and efficiently to address image hazing problems. These algorithms rely on the dark channel theory to estimate the atmospheric light which is a crucial dehazing parameter. In this paper, a review of image dehazing and enhancement has been presented.
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