文章基本信息

标题：Haze Image Recognition Based on Brightness Optimization Feedback and Color Correction
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作者：Shengyu Hao ; Peiyi Wang ; Yanzhu Hu 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2019
卷号：10
期号：2
页码：81-115
DOI：10.3390/info10020081
出版社：MDPI Publishing
摘要：At present, the identification of haze levels mostly relies on traditional measurement methods, the real-time operation and convenience of these methods are poor. This paper aims to realize the identification of haze levels based on the method of haze images processing. Therefore, this paper divides the haze images into five levels, and obtains the high-quality haze images in each level by the brightness correction of the optimization solution and the color correction of the feature matching. At the same time, in order to reduce the noise of the haze images, this article improved the Butterworth filter. Finally, based on the processed haze images, this paper uses the Faster R-CNN network to identify the haze levels. The results of multiple sets of comparison experiments demonstrate the accuracy of the study.
关键词：haze images; optimization correction; recognition of haze levels haze images ; optimization correction ; recognition of haze levels