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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

Structural Patch Decomposition Fusion for Single Image Dehazing

verfasst von : Yin Gao, Hongyun Li, Yijing Su, Jun Li

Erschienen in: Advanced Computer Architecture

Verlag: Springer Singapore

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Abstract

In this paper, we present a new image dehazing method via structural patch decomposition image fusion, which does not rely on the accuracies of global atmospheric light and transmission. Instead of estimating the exact global atmospheric and the transmission separately as most previous methods, our method directly constructs initial dehazing images with different exposure through the histogram analysis and structural patch decomposition image fusion filter to improve the visual dehazing effect. Experimental results show that this method outperforms state-of-the-art haze removal methods in terms of both efficiency and the dehazing visual effect.

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Vorheriges Kapitel Compiler Optimizing for Power Efficiency of On-Chip Memory
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Metadaten
Titel
Structural Patch Decomposition Fusion for Single Image Dehazing
verfasst von
Yin Gao
Hongyun Li
Yijing Su
Jun Li
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Advanced Computer Architecture

Print ISBN: 978-981-15-8134-2

Electronic ISBN: 978-981-15-8135-9

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-8135-9_22

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