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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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 31; H. 4; S. 1452 - 1462
Hauptverfasser:	Mishra, Dipti, Singh, Satish Kumar, Singh, Rajat Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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