Author:
Jalilian Ehsaneddin,Hofbauer Heinz,Uhl Andreas
Publisher
Springer International Publishing
Reference26 articles.
1. Agustsson, E., et al.: Soft-to-hard vector quantization for end-to-end learned compression of images and neural networks. CoRR abs/1704.00648 (2017)
2. Agustsson, E., Tschannen, M., Mentzer, F., Timofte, R., Gool, L.V.: Generative adversarial networks for extreme learned image compression. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 221–231 (2019)
3. Akbari, M., Liang, J., Han, J.: DSSLIC: deep semantic segmentation-based layered image compression. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2042–2046. IEEE (2019)
4. Ballé, J., Laparra, V., P-Simoncelli, E.: End-to-end optimized image compression. In: International Conference on Learning Representations (ICLR), Toulon, France, April 2017
5. Daugman, J., Downing, C.: Effect of severe image compression on iris recognition performance. IEEE Trans. Inf. Forensics Secur. 3(1), 52–61 (2008)