Wavelet-Based Deep Auto Encoder-Decoder (WDAED)-Based Image Compression

In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image. Specifically, we demonstrate improvements over prior approaches utilizing this framework by introducing: (a) wavelet tr...

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Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 31; číslo 4; s. 1452 - 1462
Hlavní autori:	Mishra, Dipti, Singh, Satish Kumar, Singh, Rajat Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms autoencoder CNN Coders compression Computing time Convolutional codes Datasets Decoding deep DWT Encoders-Decoders frequency Haar Image coding Image compression Image quality Image resolution Machine learning Wavelet Wavelet transforms
ISSN:	1051-8215, 1558-2205
On-line prístup:	Získať plný text
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