Generating Images in Compressed Domain Using Generative Adversarial Networks

Generating Images in Compressed Domain Using Generative Adversarial Networks

In this article, we present a generative adversarial network framework that generates compressed images instead of synthesizing raw RGB images and compressing them separately. In the real world, most images and videos are stored and transferred in a compressed format to save storage capacity and dat...

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Bibliographic Details
Main Authors: Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Generative adversarial networks
image generation
image synthesis
Online Access:https://ieeexplore.ieee.org/document/9210026/

Internet

https://ieeexplore.ieee.org/document/9210026/

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