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

Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering and scientific research. But despite rapidly growing research interests in learning-based image compression, no published me...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 46; H. 5; S. 3577 - 3594
Hauptverfasser:	Bai, Yuanchao, Liu, Xianming, Wang, Kai, Ji, Xiangyang, Wu, Xiaolin, Gao, Wen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Autoregressive models Codecs Coding Context Data models Deep learning Entropy Entropy coding Image coding Image compression lossless compression lossy plus residual coding near-lossless compression Network architecture Parallel processing Remote sensing Training
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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