Semantic-oriented learning-based image compression by Only-Train-Once quantized autoencoders-Reference-Cited by-同舟云学术

Semantic-oriented learning-based image compression by Only-Train-Once quantized autoencoders

Published:2022-04-29 Issue:1 Volume:17 Page:285-293
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Sebai D.^ORCID,Shah A. Ulah

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-022-02231-1.pdf

Reference37 articles.

1. Wallace, G. K.: The JPEG still picture compression standard. IEEE Trans. Consum. Electron. 38(1), xviii–xxxiv (1992)

2. Rabbani, M., Joshi, R.: An overview of the JPEG 2000 still image compression standard. Sig. Process.: Image Commun. 17(1), 3–48 (2002)

3. Bellard, F.: BPG image format. https://bellard.org/bpg (2014)

4. Agustsson, E., Mentzer, F., Tschannen, M., Cavigelli, L., Timofte, R., Benini, L., Gool, L.V.: Soft-to-hard vector quantization for end-toend learning compressible representations. Adv. Neural Inf. Process. Syst. 30, 1141–1151 (2017)

5. Minnen, D., Ballé, J., Toderici, G.D.: Joint autoregressive and hierarchical priors for learned image compression. Adv. Neural Inf. Process. Syst. 31, 10794–10803 (2018)

Cited by 3 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. Learning end-to-end depth maps compression with conditional quality-controllable autoencoder;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

2. A novel lossy image compression algorithm using multi-models stacked AutoEncoders;Array;2023-09

3. Wavelet based Convolutional Autoencoder for Medical Image Compression;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09