tjummg / be-acgan

BE-ACGAN

Photo-realistic residual bit-depth enhancement by advanced conditional GAN

Instructions:

1. Install TensorFlow(GPU);
2. Download BE-ACGAN model from Baidu Drive(4m43) to ./model/
3. Run 4-8/test_4_8.py to recover 8-bit images from 4-bit versions.
   Run 4-16/test_4_16.py to recover 16-bit images from 4-bit versions.
   It will directly compress and reconstruct images from testdata/.
4. Results output to results_48/ or results_416/.

• The image size in the code needs to be changed.

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If you use this code, please cite the following publication:
J.Zhang, Q.Dou, J.Liu, Y.Su, W.Sun, "BE-ACGAN: Photo-realistic residual bit-depth enhancement by advanced conditional GAN", to appear in Displays

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This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

For a copy of the GNU General Public License, please see http://www.gnu.org/licenses/.

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Here we thanks Christian Ledig et al. who are authors of "Photo-realistic single image super-resolution using a generative adversarial network", published in IEEE Conference of Computer Vision and Pattern Recognition, for referring to their outstanding work.

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