Super-resolution Reconstruction Technology for Compressed Video
压缩视频超分辨率重建技术

Super-Resolution(SR)reconstruction is to estimate High-Resolution(HR)images from Low-Resolution(LR)image sequence,which has been a great focus for compressed video.This paper firstly presents the base of SR reconstruction for compressed video by building the relationships between the HR and LR images and surveying the models of quantization noise and motion vector.Then,the typical algorithms such as MAP,POCS and IBP are described in detail with experimental results.The computation complexity and real-time approaches are also investigated.Finally,aiming at the drawbacks,the research rang of prospects are demonstrated through pointing out the focus on degradation mode,motion estimation,reconstruction algorithm and real-time implementations.