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Deep Graph Laplacian Hashing for Image Retrieval Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Detail-Enhancement for Dehazing Method Using Guided Image Filter and Laplacian Pyramid

Authors : Dong Zhao, Long Xu

Published in: Advances in Multimedia Information Processing – PCM 2017

Publisher: Springer International Publishing

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Abstract

Using dark channel prior (DCP) with guided image filter (GIF) is one of the most attention haze removal methods in recent years. However, this method may lead to blurring phenomenon in the dehazed image. This work focus on address this issue by constructing a differential model to look for the causes of the blurry vision. Inspired by this model, we proposed a detail-enhancement method using Laplacian pyramid technology. One of the advantages of this method is that, it can simultaneously achieve dehazing and detail-enhancing while without additional computational complexity. The experimental results show that the proposed method can effectively enhance the edge of the dehazed image.

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Metadata
Title
Detail-Enhancement for Dehazing Method Using Guided Image Filter and Laplacian Pyramid
Authors
Dong Zhao
Long Xu
Copyright Year
2018
Book
Advances in Multimedia Information Processing – PCM 2017

Print ISBN: 978-3-319-77379-7

Electronic ISBN: 978-3-319-77380-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-77380-3_53