Nonlinear Transforms in Learned Image Compression From a Communication Perspective-Reference-Cited by-同舟云学术

Nonlinear Transforms in Learned Image Compression From a Communication Perspective

Author:

Bao Youneng¹^ORCID,Meng Fanyang²^ORCID,Li Chao¹,Ma Siwei³^ORCID,Tian Yonghong²^ORCID,Liang Yongsheng¹^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Harbin Institute of Technology, Shenzhen, Guangdong, China

2. Peng Cheng Laboratory, Shenzhen, China

3. National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Youth Program of National Natural Science Foundation of China

Major Key Project of the Peng Cheng Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference56 articles.

5. Variable rate image compression with recurrent neural networks;toderici;Proc 4th Int Conf Learn Represent (ICLR),2016

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multirate Progressive Entropy Model for Learned Image Compression;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

2. Leveraging Redundancy in Feature for Efficient Learned Image Compression;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14