Instability of Successive Deep Image Compression

Author:

Kim Jun-Hyuk1,Jang Soobeom1,Choi Jun-Ho1,Lee Jong-Seok1

Affiliation:

1. Yonsei University, Incheon, Republic of Korea

Funder

NAVER WEBTOON Corp.

Publisher

ACM

Reference23 articles.

1. N. Asuni and A. Giachetti. 2014. TESTIMAGES: A large-scale archive for testing visual devices and basic image processing algorithms (SAMPLING 1200 RGB set). InSTAG: Smart Tools and Apps for Graphics. https://sourceforge.net/projects/testimages/les/OLD/OLD_SAMPLING/testimages.zip N. Asuni and A. Giachetti. 2014. TESTIMAGES: A large-scale archive for testing visual devices and basic image processing algorithms (SAMPLING 1200 RGB set). InSTAG: Smart Tools and Apps for Graphics. https://sourceforge.net/projects/testimages/les/OLD/OLD_SAMPLING/testimages.zip

2. Efficient Nonlinear Transforms for Lossy Image Compression

3. JPEG XS, a new standard for visually lossless low-latency lightweight image compression

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2. Improving Multi-generation Robustness of Learned Image Compression;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

3. Revisiting Learned Image Compression With Statistical Measurement of Latent Representations;IEEE Transactions on Circuits and Systems for Video Technology;2023

4. Successive learned image compression: Comprehensive analysis of instability;Neurocomputing;2022-09

5. Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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