Improved dehazing techniques for maritime surveillance image enhancement

Q3 Engineering
B. Stojanovic, S. Milićević, S. Stankovic
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引用次数: 4

Abstract

The subjective quality of images (human interpretation) is very important in long-range imaging systems, where the presence of haze directly influences visibility of the scene, by reducing contrast and obscuring objects. Image enhancement techniques – dehazing techniques, are usually required in such systems. This paper compares the most significant single image dehazing approaches, proposes three additional enhancement steps in dehazing algorithms, compares performance of the algorithms and additional enhancement steps, and presents test results on maritime surveillance images, which represent one special case of long-range images.
改进的海上监视图像增强除雾技术
在远程成像系统中,图像的主观质量(人工判读)非常重要,其中雾霾的存在通过降低对比度和遮挡物体直接影响场景的可见度。在这样的系统中通常需要图像增强技术-除雾技术。本文比较了最重要的单幅图像去雾方法,提出了除雾算法中的三个附加增强步骤,比较了算法和附加增强步骤的性能,并给出了海上监视图像的测试结果,代表了远程图像的一种特殊情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Serbian Journal of Electrical Engineering
Serbian Journal of Electrical Engineering Energy-Energy Engineering and Power Technology
CiteScore
1.30
自引率
0.00%
发文量
16
审稿时长
25 weeks
期刊介绍: The main aims of the Journal are to publish peer review papers giving results of the fundamental and applied research in the field of electrical engineering. The Journal covers a wide scope of problems in the following scientific fields: Applied and Theoretical Electromagnetics, Instrumentation and Measurement, Power Engineering, Power Systems, Electrical Machines, Electrical Drives, Electronics, Telecommunications, Computer Engineering, Automatic Control and Systems, Mechatronics, Electrical Materials, Information Technologies, Engineering Mathematics, etc.
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