lml2egg1314 / IDCN

Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction

IDCN

Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction

B. Zheng, Y. Chen, X. Tian, F. Zhou and X. Liu, "Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction," in IEEE Transactions on Circuits and Systems for Video Technology.
doi: 10.1109/TCSVT.2019.2931045

@ARTICLE{8772137,
author={B. {Zheng} and Y. {Chen} and X. {Tian} and F. {Zhou} and X. {Liu}},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction},
year={2019},
doi={10.1109/TCSVT.2019.2931045},
ISSN={1051-8215},
}

Network Architecture

Architecture

Dual-domain Correction Unit

Position Labeling

Results

• Here all the results of compared methods are REPRODUCED by ourself.
• All the methods are trained on DIV2K with learning rate from 0.0001 to 0.000001.
• Several pre-trained models can be downloaded at https://pan.baidu.com/s/1SK26KzV4SfyWSc09ehwnrg password: hp6v

Runing Times

Dual-domain Correction

Robust JPEG Compression Artifact Reduction

Qualitative Results