Accurate entropy modeling in learned image compression with joint enchanced SwinT and CNN-Reference-Cited by-同舟云学术

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Accurate entropy modeling in learned image compression with joint enchanced SwinT and CNN

Published:2024-07-07 Issue:4 Volume:30 Page:
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Yang Dongjian,Fan Xiaopeng,Meng Xiandong,Zhao Debin

Funder

Key Research and Development Program of Peng Cheng Laboratory

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00530-024-01405-w.pdf

Reference56 articles.

1. Wallace, G.: The jpeg still picture compression standard. IEEE Trans. Consumer Electron. 38(1):xviii–xxxiv (1992). https://doi.org/10.1109/30.125072

2. Rabbani, M., Joshi, R.: An overview of the jpeg 2000 still image compression standard. Signal Process. Image Commun. 17(1), 3–48 (2002). https://doi.org/10.1016/s0923-5965(01)00024-8

3. Wiegand, T., Sullivan, G., Bjontegaard, G., et al.: Overview of the h.264/avc video coding standard. IEEE Trans. Circ. Syst. Video Technol. 13(7), 560–576 (2003). https://doi.org/10.1109/tcsvt.2003.815165

4. Sullivan, G.J., Ohm, J.R., Han, W.J., et al.: Overview of the high efficiency video coding (hevc) standard. IEEE Trans. Circ. Syst. Video Technol. 22(12), 1649–1668 (2012). https://doi.org/10.1109/tcsvt.2012.2221191

5. Bross, B., Wang, Y.K., Ye, Y., et al.: Overview of the versatile video coding (vvc) standard and its applications. IEEE Trans. Circ. Syst. Video Technol. 31(10), 3736–3764 (2021). https://doi.org/10.1109/tcsvt.2021.3101953

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