A Novel Approach to Flexible Multi-Resolution Image Compression using Deep Learning Based Autoencoders on Overlapping Image Patch-Reference-Cited by-同舟云学术

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A Novel Approach to Flexible Multi-Resolution Image Compression using Deep Learning Based Autoencoders on Overlapping Image Patch

Published:2023 Issue: Volume:227 Page:346-354
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Gunawan David Liemanto,Kristian Yosi

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. Deep convolutional autoencoder-based lossy image compression;Cheng,2018

2. The JPEG still picture compression standard;Wallace;IEEE Trans Consum Electron,1992

3. The JPEG image compression algorithm;Al-Ani;Int J Adv Eng Technol,2013

4. An overview of the JPEG 2000 still image compression standard;Rabbani;Signal Process Image Commun,2002

5. Performance comparison of convolutional autoencoders, generative adversarial networks and super-resolution for image compression;Cheng,2018

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