110 citations · 243 across the 10 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.CV2018★ 25 cited
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
Bolun Zheng, Rui Sun, Xiang Tian +1
Recent studies have used deep residual convolutional neural networks (CNNs) for JPEG compression artifact reduction. This study proposes a scalable CNN called S-Net. Our approach e…
cs.CV2018★ 110 cited
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Bolun Zheng, Yaowu Chen, Xiang Tian +2
Several dual-domain convolutional neural network-based methods show outstanding performance in reducing image compression artifacts. However, they suffer from handling color images…