Causal Contextual Prediction for Learned Image Compression

Over the past several years, we have witnessed impressive progress in the field of learned image compression. Recent learned image codecs are commonly based on autoencoders, that first encode an image into low-dimensional latent representations and then decode them for reconstruction purposes. To ca...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 32; H. 4; S. 2329 - 2341
Hauptverfasser:	Guo, Zongyu, Zhang, Zhizheng, Feng, Runsen, Chen, Zhibo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	causal context model causal global prediction Codec Context Context modeling Correlation Decoding Distortion Entropy Entropy coding Image coding Image compression improved entropy model Learned image compression Optimization Prediction models Predictive models Spatial dependencies Transforms
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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