ICASSP 2020accepted0 citations
Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning
Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, Jong-Seok Lee
Abstract
Recently, deep learning-based lossy image compression methods have been proposed. However, their efficiency in terms of storage and computational costs has not been addressed adequately. In this paper, we propose efficient lossy image compression methods based on asymmetric autoencoder and decoder pruning. Experimental results demonstrate the effectiveness of our methods.
BibTeX
@inproceedings{icassp2020_efficientdeeplea,
title = {Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning},
author = {Jun-Hyuk Kim and Jun-Ho Choi and Jaehyuk Chang and Jong-Seok Lee},
booktitle = {ICASSP 2020},
year = {2020}
}