A novel lossy image compression algorithm using multi-models stacked AutoEncoders-Reference-Cited by-同舟云学术

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A novel lossy image compression algorithm using multi-models stacked AutoEncoders

Published:2023-09 Issue: Volume:19 Page:100314
ISSN:2590-0056
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language:en
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Author:

Fraihat Salam^ORCID,Al-Betar Mohammed Azmi

Publisher

Elsevier BV

Subject

General Computer Science

Reference44 articles.

1. Improving state-of-the-art compression techniques for log management tools;Yao;IEEE Trans Softw Eng,2021

2. Images using embedded block coding optimization truncation (EBCOT);Padmashree,2015

3. Machine learning: Trends, perspectives, and prospects;Jordan;Science,2015

4. Machine learning;Zhou,2021

5. Deep learning;Kelleher,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the Enhanced Performance of Unsupervised Feature Learning and Compression with Auto encoders;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

2. EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification;IEEE Signal Processing Letters;2024

3. Dimensionality Reduction-Integrated Analog-to-Digital Converters for Efficient Data Acquisition in High-Dimensional Signal Processing;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

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