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eess.IV2022★ 2 cited
Expanded Adaptive Scaling Normalization for End to End Image Compression
Chajin Shin, Hyeongmin Lee, Hanbin Son +3
Recently, learning-based image compression methods that utilize convolutional neural layers have been developed rapidly. Rescaling modules such as batch normalization which are oft…
eess.IV2020★ 22 cited
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
Hanbin Son, Taeoh Kim, Hyeongmin Lee +1
To enhance image compression performance, recent deep neural network-based research can be divided into three categories: a learnable codec, a postprocessing network, and a compact…