NTIRE 2021 challenge on image deblurring

S Nah, S Son, S Lee, R Timofte… - Proceedings of the …, 2021 - openaccess.thecvf.com
Motion blur is a common photography artifact in dynamic environments that typically comes
jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on …

Compression artifacts reduction by a deep convolutional network

C Dong, Y Deng, CC Loy… - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
Lossy compression introduces complex compression artifacts, particularly the blocking
artifacts, ringing effects and blurring. Existing algorithms either focus on removing blocking …

JPEG error analysis and its applications to digital image forensics

W Luo, J Huang, G Qiu - IEEE Transactions on Information …, 2010 - ieeexplore.ieee.org
JPEG is one of the most extensively used image formats. Understanding the inherent
characteristics of JPEG may play a useful role in digital image forensics. In this paper, we …

Anti-forensics of digital image compression

MC Stamm, KJR Liu - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
As society has become increasingly reliant upon digital images to communicate visual
information, a number of forensic techniques have been developed to verify the authenticity …

Decoder-side HEVC quality enhancement with scalable convolutional neural network

R Yang, M Xu, Z Wang - 2017 IEEE International Conference …, 2017 - ieeexplore.ieee.org
The latest High Efficiency Video Coding (HEVC) has been increasingly used to generate
video streams over Internet. However, the decoded HEVC video streams may incur severe …