Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval

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Overview
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     Compressing Sign Information in 
     DCT-based Image Coding via Deep Sign Retrieval         
 
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Written by  : Kei Suzuki
Affiliation : Nagoya University
E-mail      : [email protected]
Created     : Sep. 2022

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    Contents
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model/RDSR.pth : RDSR model (trained)
main.py        : Main algorithm file
torchjpeg.py   : TorchJPEG[1]

[1] M. Ehrlich et al., "Quantization Guided JPEG Artifact Correction,"
in Proc. European Conference on Computer Vision (ECCV), 2020.

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    Usage
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-- Training

1) Download and extract the following zip.

train.zip
https://drive.google.com/file/d/1NO-cLuQ99gpNLj1ENEz4NyKyOH_zClzV/view?usp=sharing

2) Set train_flg = 1 (line 213).

3) Change learning rate (line 216), epochs (line 219), and K (line 225).

4) Run 'python3 main.py'.

-- Test

1) Download and extract the following zip.

test.zip
https://drive.google.com/file/d/1b7K3VCsbaPSZeLeg0P6ZLOhyeBYbHoGh/view?usp=sharing

2) Set train_flg = 0 (line 213).

3) Change test QF (line 210).

4) Run 'python3 main.py'.

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    Feedback
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If you have any questions, please contact me.
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