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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Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 31; no. 4; pp. 1452 - 1462
Main Authors:	Mishra, Dipti, Singh, Satish Kumar, Singh, Rajat Kumar
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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