Linwei Zhu, Yun Zhang, Shiqi Wang, Hui Yuan, Sam Kwong, and Horace H. S. Ip

IEEE Transactions on Image Processing, vol. 27, no. 11, pp. 5365-5377, Nov. 2018

The quality of synthesized view plays an important role in the 3D video system. In this paper, to further improve the coding efficiency, a convolutional neural network (CNN)-based synthesized view quality enhancement method for 3D high efficiency video coding (HEVC) is proposed. First, the distortion elimination in synthesized view is formulated as an image restoration task with the aim to reconstruct the latent distortion free synthesized image. Second, the learned CNN models are incorporated into...

Chunling Fan, Yun Zhang, Liangbing Feng, and Qingshan Jiang

IEEE Access, 2018, pp. 8934-8943. (SCI IF 3.244)

No Reference (NR) Image Quality Assessment (IQA) algorithm is capable of measuring the quality of distorted images without referencing the original images. This property is of great importance in image processing, compression, and transmission. However, due to the diversity of the distortion types and image contents, it is difficult for the existing NR IQA algorithms to be applied and maintain the best performance for all cases. To address this problem, we develop a novel NR IQA algorithm...