A joint adaptive evolutionary model towards optical image contrast enhancement and geometrical reconstruction approach in underwater remote sensing-Reference-Cited by-同舟云学术

A joint adaptive evolutionary model towards optical image contrast enhancement and geometrical reconstruction approach in underwater remote sensing

Published:2019-09-20 Issue:10 Volume:1 Page:
ISSN:2523-3963
Container-title:SN Applied Sciences
language:en
Short-container-title:SN Appl. Sci.

Author:

Moghimi Mohammad Kazem^ORCID,Mohanna Farahnaz^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s42452-019-1255-0.pdf

Reference41 articles.

1. Lu H, Li Y, Zhang Y, Chen M, Serikawa S, Kim H (2017) Underwater optical image processing: a comprehensive review. Mob Netw Appl 22(6):1204–1211

2. Khosravi MR, Moghimi MK (2018) Underwater optical image processing. Mod Approach Oceanogr Petrochem Sci 1(1):1–2. https://doi.org/10.32474/maops.2018.01.000101

3. Ma J, Fan X, Yang SX, Zhang X, Zhu X (2018) Contrast limited adaptive histogram equalization-based fusion in YIQ and HSI color spaces for underwater image enhancement. Int J Pattern Recognit Artif Intell 32(07):1854018

4. Li YJ, Zhang M, Zhao Q, Zhanga XS, Gao SB (2019) Underwater image enhancement using adaptive retinal mechanisms. IEEE Trans Image Process Publ IEEE Signal Process Soc 28(11):5580–5595. https://doi.org/10.1109/TIP.2019.2919947

5. Ancuti C, Ancuti CO, De Vleeschouwer C, Garcia R, Bovik AC (2016) Multi-scale underwater descattering. In: 2016 23rd international conference on pattern recognition (ICPR). IEEE, pp 4202–4207

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