3D-CVQE: An Effective 3D-CNN Quality Enhancement for Compressed Video Using Limited Coding Information

How to obtain higher quality reconstructed video within limited coding resources is a research focus for video coding. First, the fluctuating quality, missing pixel and position fluctuation characteristics of the compressed video are found in this paper based on the block-based coding frameworks. Then, in order to reduce the degradation of compressed video quality caused by the above three characteristics, an non-aligned 3D-CNNs for compressed video quality enhancement called "3D-CVQE" is proposed, which can preserve and utilize limited input information in both temporal and spatial domains effectively. Finally, the experiments results validate the effectiveness and generalization ability of the proposed 3D-CVQE approach in the quality enhancement of compressed video.