End-to-End Optimized Versatile Image Compression With Wavelet-Like Transform

Built on deep networks, end-to-end optimized image compression has made impressive progress in the past few years. Previous studies usually adopt a compressive auto-encoder, where the encoder part first converts image into latent features, and then quantizes the features before encoding them into bi...

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 44; číslo 3; s. 1247 - 1263
Hlavní autori:	Ma, Haichuan, Liu, Dong, Yan, Ning, Li, Houqiang, Wu, Feng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Bit rate Coders Coefficients Compression ratio Deep network end-to-end optimization Entropy coding Image coding Image compression lossless compression lossy compression Mathematical models Measurement Quantization (signal) Rate-distortion wavelet transform Wavelet transforms
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
On-line prístup:	Získať plný text
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