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LiteEnhanceNet: A lightweight network for real-time single underwater image enhancement

  • Published:2024-04 Issue: Volume:240 Page:122546
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Zhang Song,Zhao Shili,An Dong,Li DaoliangORCID,Zhao RanORCID

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference47 articles.

1. Sea-thru: A method for removing water from underwater images;Akkaynak,2019

2. Brain tumor classification in magnetic resonance image using hard swish-based RELU activation function-convolutional neural network;Alhassan;Neural Comput. & Applic.,2021

3. A survey on modern trainable activation functions;Apicella;Neural Netw.,2021

4. Structural similarity index (SSIM) revisited: A data-driven approach;Bakurov;Expert Syst. Appl.,2022

5. Learning spatial attention for face super-resolution;Chen;IEEE Trans. Image Process.,2020

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