SIAT VIDEO TEAM
Journal Paper
Deep Learning-based Perceptual Video Quality Enhancement for 3D Synthesized View      [PDF]

Huan Zhang, Yun Zhang (*Corresponding Author), Linwei Zhu, Weisi Lin

IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT) , 2022, Accepted.

Due to occlusion among views and temporal inconsistency in depth video, spatio-temporal distortion occurs in 3D synthesized video with depth image-based rendering. In this paper, we propose a deep Convolutional Neural Network (CNN)-based synthesized video denoising algorithm to reduce temporal flicker distortion and improve perceptual quality of 3D synthesized video. First, we analyze the spatio-temporal distortion, and model eliminating spatio-temporal distortion as a perceptual video denoising problem Then, a deep learningbased synthesized video denoising network is proposed , in which a CNN-friendly spatio-temporal...