FM-VSR: Feature Multiplexing Video Super-Resolution for Compressed Video

FM-VSR: Feature Multiplexing Video Super-Resolution for Compressed Video

Blog Article

Due to the limitation of shooting conditions in the real world, there exist many insufficient-resolution videos.To be transmitted under limited bandwidth conditions, low-resolution videos often have to be compressed further, which introduces more compression artifacts and results in severer damage to the video quality.Accordingly, video super-resolution in practical applications must repair compressed damage and down-sampling damage simultaneously, which can be intuitively solved by two subtasks, including compressed video quality enhancement (VQE) and mealworms video super-resolution (VSR).

Therefore, we proposed a novel model, the Feature Multiplexing Video Super-Resolution for Compressed Video (FM-VSR) to effectively handle such multi-tasks.Firstly, we use a complicated Deformable Regression Pyramid (DRP) module to Fall Protection - Mats align the reference frame and each supporting frame.Then feature multiplexing structure is utilized in VSR to make better use of the VQE information.

Finally, a skip-attention structure is introduced in the reconstruction module to predict the high-quality video frame.Many experiments on benchmark datasets show that our method can achieve better performance both in quantitative and qualitative than the state-of-the-art (SOTA) two-stage approaches.