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2019 | OriginalPaper | Chapter

Statistical Metric Measurement Approach for Hazy Images

Authors : T. Saikumar, K. Srujan Raju, K. Srinivas, M. Varaprasad Rao

Published in: ICCCE 2018

Publisher: Springer Singapore

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Abstract

A novel statistical metric measurement approach for the evaluation of enhancement of hazy images. Metric measurement plays a critical role in picture enhancement in hazy weather conditions and leads to a lessening in pixel resolution, a distortion in color, and gray images. In this paper hazy and foggy images are considered for evaluation using contrast-to-noise ratio (CNR) which dehazes the original hazy images. We propose a unique novel effective parameter based on an image filtering approach. The results demonstrated show a better CNR for dehazed images.

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Literature
1.
Narasimhan SG, Nayar SK (2003) Contrast restoration of weather degraded images. IEEE Trans Pattern Anal Mach Intell 25(6):713–724CrossRef
2.
Zhang Y-Q, Ding Y, Xiao J-S, Liu J, Guo Z (2012) Visibility enhancement using an image filtering approach. EURASIP J Adv Signal Process 1–6
3.
Narasimhan SG, Nayar SK (2002) Vision and the atmospheric. Int J Comput Vision 48(3):233–254CrossRef
4.
Saikumar T, Dwijendra B, Arika M, Nandita K, Mukesh A (2017) Visibility enhancement (VM) for haze images based on color channel. Int J Electron Electr Comput Syst (IJEECS) 6(5). ISSN: 2348-117X
Metadata
Title
Statistical Metric Measurement Approach for Hazy Images
Authors
T. Saikumar
K. Srujan Raju
K. Srinivas
M. Varaprasad Rao
Copyright Year
2019
Publisher
Springer Singapore
Book
ICCCE 2018

Print ISBN: 978-981-13-0211-4

Electronic ISBN: 978-981-13-0212-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-0212-1_27