Target-Dependent Scalable Image Compression Using a Reconfigurable Recurrent Neural Network

Target-Dependent Scalable Image Compression Using a Reconfigurable Recurrent Neural Network

Conventional human-centric image compression techniques are optimized for human visual perception, and are generally evaluated by metrics such as MSSSIM and PSNR. On the other hand, task-centric image compression techniques that target deep neural networks (DNN) inference focus on understanding imag...

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Bibliographic Details
Main Authors:	Sang Hoon Kim, Jae Hyun Park, Jong Hwan Ko
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Access
Subjects:	GRU human centric image compression LSTM reconfigurable recurrent neural network
Online Access:	https://ieeexplore.ieee.org/document/9524601/

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