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May, 2018
神经多尺度图像压缩
Neural Multi-scale Image Compression
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Ken Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara
TL;DR
该研究提出了一种新的损失图像压缩方法，利用自然图像的多尺度特征，通过自编码器和并行多尺度无损编码器提取和编码量化变量来实现快速高保真图像编解码。
Abstract
This study presents a new
lossy image compression
method that utilizes the
multi-scale features
of natural images. Our model consists of two networks: multi-scale lossy
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