An Improved Multi-reference Frame Loop Filter Algorithm Based on Transformer for VVC
Zhi Liu, Yunpeng Duan, Mengmeng Zhang · 2022
Deep learning methods have been achieving good results in the loop filtering in Versatile Video Coding(VVC). Multi-Frame In-Loop Filter of HEVC (MIF) algorithm is one of networks that effectively utilizes the multiple reference frames to enhance the quality of reconstruction. However, it has the disadvantages of low efficiency of the reference frame selection and its quality enhancement network does not fully utilize the inter-frame correlations of video sequence and has large redundancy. To address these problem, an improved multi-reference frame loop filter algorithm based on transformer optimization (T -MIF) is proposed.