Image Compression Based on Hybrid Domain Attention and Postprocessing Enhancement

Deep learning-based image compression methods have made significant achievements recently, of which the two key components are the entropy model for latent representations and the encoder-decoder network. Both the inaccurate estimation of the entropy estimation model and the existence of information...

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Vydané v:	Computational intelligence and neuroscience Ročník 2022; s. 1 - 12
Hlavní autori:	Bao, Yuting, Tao, Yuwen, Qian, Pengjiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Hindawi 17.03.2022 John Wiley & Sons, Inc
Predmet:	Algorithms Analysis Coders Compression Computational linguistics Computer peripherals industry Data Compression Decoding Deep learning Design Domains Efficiency Electric Power Supplies Encoders-Decoders Entropy Human resource management Image coding Image compression Image enhancement Information technology Language processing Measurement Modules Natural language interfaces Neural networks Neural Networks, Computer Normal Distribution Probabilistic models Propagation Redundancy Representations Wavelet transforms United States
ISSN:	1687-5265, 1687-5273, 1687-5273
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