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2016 | OriginalPaper | Chapter

Single Image Dehazing Using Hölder Coefficient

Authors : Dehao Shang, Tingting Wang, Faming Fang

Published in: Knowledge Science, Engineering and Management

Publisher: Springer International Publishing

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Abstract

Restoring the true scene appearance from hazy image is a challenging task and one of a most necessary part in image processing system. As we know, the clear-day image must have higher contrast compared to the hazy image. Our main idea is that the hazy image is enhanced based on this observation to achieve dehazing objective. Firstly, we use a new metric, simple but powerful Hölder coefficient, to estimate the hazy density roughly. In order to make the estimation density map more reasonable, we apply proposed energy function to refine it. Based on the refined map, we propose a new method to estimate the atmosphere light. Secondly, three new terms, which are used to enhance image, are modeled into energy function. Solving this energy function, transmission map can be obtained. Finally, we get haze-free image by using the transmission map. Experiment results demonstrate that our algorithm has similar or better performance compared to the state-of-art algorithms.

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Metadata
Title
Single Image Dehazing Using Hölder Coefficient
Authors
Dehao Shang
Tingting Wang
Faming Fang
Copyright Year
2016
Book
Knowledge Science, Engineering and Management

Print ISBN: 978-3-319-47649-0

Electronic ISBN: 978-3-319-47650-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-47650-6_25

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