基于联合透射图估计和大气光提取的雾霾去除方法

Proceedings of the 4th International Conference on Future Networks and Distributed Systems Pub Date : 2020-11-26 DOI:10.1145/3440749.3442663

A. Filin, I. Gracheva, A. Kopylov

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引用次数: 2

摘要

本文提出了一种基于联合透射图估计和基于概率伽玛正态模型的大气光提取的雾霾去除新方法。增强版的通用大气光提取器允许减少局部光源对处理结果的影响。实验结果表明，该方法与其他雾霾去除方法相比具有相当的质量结果和更少的计算时间。

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Haze Removal Method Based on Joint Transmission Map Estimation and Atmospheric-Light Extraction

This paper proposes a new computationally effective method of haze removal based on joint transmission map estimation and atmospheric-light extraction using the probabilistic gamma-normal model. The enhanced version of universal atmospheric light extractor allows reducing the influence of localized light sources to result of processing. Experimental results show that the proposed method has comparable quality results and lower computation time than other haze removal methods.

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Proceedings of the 4th International Conference on Future Networks and Distributed Systems

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