Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression-Reference-Cited by-同舟云学术

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Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression

Published:2024-05 Issue:5 Volume:46 Page:3577-3594
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Bai Yuanchao¹^ORCID,Liu Xianming¹^ORCID,Wang Kai¹^ORCID,Ji Xiangyang²^ORCID,Wu Xiaolin³^ORCID,Gao Wen⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

2. Department of Automation, Tsinghua University, Beijing, China

3. Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

4. School of Electronics Engineering and Computer Science, Peking University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Heilongjiang Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10490207/10378746.pdf?arnumber=10378746

Reference71 articles.

1. A Mathematical Theory of Communication

2. The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS

3. Context-based, adaptive, lossless image coding

4. FLIF: Free lossless image format based on MANIAC compression

5. JPEG XL next-generation image compression architecture and coding tools

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3. Lossless and lossy remote sensing image encryption-compression algorithm based on DeepLabv3+ and 2D CS;Applied Soft Computing;2024-07

4. Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring;IEEE Transactions on Computational Imaging;2024

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