Enhancement of single foggy image using feature based fusion technique

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Pooja Pandey, Rashmi Gupta, Nidhi Goel
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引用次数: 0

Abstract

Foggy and hazy weather conditions are very common natural phenomenon which reduces the visibility of acquired outdoor pictures. Poor visibility creates innumerable problems in various facets of life viz. in tracking, surveillance and in many more fields. In this paper, an efficient feature based fusion technique has been used to enhance the single foggy image at transmission level. Fusion at this level retains most significant features of foggy image and using this fused single input at transmission level, output defog image is calculated. Proposed methodology overcomes the shortcoming of existing Dark Channel Prior and Bright Channel Prior methods.Output of proposed method shows promising result for all types of datasets varying in fog density as well as in size. The foremost major advantage of this method is that it does not require any pre-processing or post processing and thus, very simple to implement.

Abstract Image

使用基于特征的融合技术增强单幅雾图像
雾和朦胧的天气条件是非常常见的自然现象,会降低获取的户外图片的可见度。能见度低给生活的各个方面带来了无数问题,如跟踪、监控和其他许多领域。本文采用了一种高效的基于特征的融合技术,在传输层面上增强单幅雾天图像。这一级别的融合保留了雾图像最重要的特征,并利用传输级融合后的单一输入,计算出输出除雾图像。所提出的方法克服了现有暗通道先验法和亮通道先验法的缺点。所提出方法的输出结果表明,对于雾密度和大小各不相同的各类数据集,效果都很好。这种方法的最大优点是不需要任何预处理或后处理,因此实施起来非常简单。
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
Multimedia Tools and Applications
Multimedia Tools and Applications 工程技术-工程:电子与电气
CiteScore
7.20
自引率
16.70%
发文量
2439
审稿时长
9.2 months
期刊介绍: Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools as well as case studies of multimedia applications. It also features experimental and survey articles. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed. Specific areas of interest include: - Multimedia Tools: - Multimedia Applications: - Prototype multimedia systems and platforms
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