Multiscale Augmented Normalizing Flows for Image Compression

Most learning-based image compression methods lack efficiency for high image quality due to their non-invertible design. The decoding function of the frequently applied compressive autoencoder architecture is only an approximated inverse of the encoding transform. This issue can be resolved by using...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 3030 - 3034
Hlavní autori:	Windsheimer, Marc, Brand, Fabian, Kaup, Andre
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 14.04.2024
Predmet:	Adaptation models augmented normalizing flows Bit rate end-to-end image compression hierarchical image compression Image coding Image resolution Learning-based image compression Quantization (signal) rate distortion optimization Speech processing Transforms
ISSN:	2379-190X
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