JPEG Artifact Reduction Based on Deformable Offset Gating Network Controlled by a Variational Autoencoder

JPEG Artifact Reduction Based on Deformable Offset Gating Network Controlled by a Variational Autoencoder

For the reduction of JPEG compression artifacts, there have been many methods using deep neural networks. Most of them use the JPEG compression quality factor (QF) as prior knowledge in designing and training the networks. However, since the images we get from the Internet are often recompressed, th...

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Bibliographic Details
Main Authors: Jeonghwan Yoon, Nam Ik Cho
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
JPEG artifacts removal
quantization
image restoration
recompression
deformable convolution
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/10080951/

Internet

https://ieeexplore.ieee.org/document/10080951/

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