Improved hybrid layered image compression using deep learning and traditional codecs

作者：

Highlights：

• An improved hybrid layered image compression framework by combining deep learning and the traditional image codecs.

• Improved autoencoder architecture.

摘要

•An improved hybrid layered image compression framework by combining deep learning and the traditional image codecs.•Improved autoencoder architecture.

论文关键词：Deep learning-based image coding,Layered image coding,Residual coding,Convolutional neural network,Autoencoder

论文评审过程：Received 2 July 2019, Revised 25 November 2019, Accepted 28 December 2019, Available online 7 January 2020, Version of Record 9 January 2020.

论文官网地址：https://doi.org/10.1016/j.image.2019.115774