DeepN-JPEG

https://arxiv.org/pdf/1803.05787.pdf

This is a simple implementation of our work "DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework"

• We implement frequency analysis modul for one image (can be extended to multiple images)
• You need to map the generated matrix to quantization table and replace the original one in JPEG framework. e.g.:

./cjpeg -dct int -qtable qt.txt -baseline -opt  -outfile $C temp.bmp

• If you use this code please cite our paper:

@inproceedings{liu2018deepn,
  title={DeepN-JPEG: A deep neural network favorable JPEG-based image compression framework},
  author={Liu, Zihao and Liu, Tao and Wen, Wujie and Jiang, Lei and Xu, Jie and Wang, Yanzhi and Quan, Gang},
  booktitle={Proceedings of the 55th Annual Design Automation Conference},
  pages={18},
  year={2018},
  organization={ACM}
}

Example.

python DeepN.py