MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video

Understand

The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video.

• The existing approaches mainly focus on enhancing the quality of a single frame, not considering the similarity between consecutive frames.
• Since heavy fluctuation exists across compressed video frames as investigated in this paper, frame similarity can be utilized for quality enhancement of low-quality frames given their neighboring high-quality frames.
• This task is Multi-Frame Quality Enhancement (MFQE).