Video surveillance image enhancement via a convolutional neural network and stacked denoising autoencoder-Reference-Cited by-同舟云学术

Video surveillance image enhancement via a convolutional neural network and stacked denoising autoencoder

Published:2021-10-08 Issue:4 Volume:34 Page:3079-3095
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Che Aminudin Muhamad Faris,Suandi Shahrel Azmin^ORCID

Funder

Universiti Sains Malaysia

universiti sains malaysia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06551-0.pdf

Reference41 articles.

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3. Bovik AC, Acton ST (2009) Chapter 10—basic linear filtering with application to image enhancement. In: Bovik A (ed) The essential guide to image processing. Academic Press, Boston, pp 225–239. https://doi.org/10.1016/B978-0-12-374457-9.00010-X

4. Buber E, Diri B (2018) Performance analysis and cpu vs gpu comparison for deep learning. In: 2018 6th International conference on control engineering information technology (CEIT), pp 1–6

5. Cao G, Huang L, Tian H, Huang X, Wang Y, Zhi R (2018) Contrast enhancement of brightness-distorted images by improved adaptive gamma correction. Comput Electr Eng 66:569–582. https://doi.org/10.1016/j.compeleceng.2017.09.012

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