Review: EDCNN — Enhanced Deep Convolutional Neural Network (Codec Filtering)

Original article was published on Deep Learning on Medium

Review: EDCNN — Enhanced Deep Convolutional Neural Network (Codec Filtering)

Using ResNeXt Block, 6.45% BDBR Reduction, Outperforms SRResNet and RHCNN

EDCNN is proposed to replace the original in-loop filter (DF & SAO) in HEVC

In this story, Enhanced Deep Convolutional Neural Network (EDCNN), by anjing University of Information Science and Technology, Chinese Academy of Sciences, Sungkyunkwan University, and City University of Hong Kong, is described. In this paper, a CNN-based in-loop filter is proposed to replace the original in-loop filter (DF and SAO) in the conventional HEVC.

This is a paper in 2020 TIP where TIP has a high impact factor of 6.79. (Sik-Ho Tsang @ Medium)