基于视频插帧技术和视频超分辨率技术的数字电影画质增强研究

Research on the Quality Enhancement of Digital Cinema based on Video Frame Interpolation Technology and Video Super Resolution Technology

随着AI技术的不断发展和观众观影需求的持续提升,利用深度学习算法对新老电影进行画质增强成为电影行业的热门研究问题。图像分辨率和帧率是影响电影画质的主要因素,针对图像分辨率和帧率,本文分别介绍了基于深度学习的视频插帧技术和视频超分辨率技术进行电影画质增强的实现方法,并且分析已有的电影画质增强实例,明确协调不同技术对画质增强的重要性。

With the development of AI technology and the increasing demand for movie watching,quality enhancement by deep learning algorithms of new and old movies has become a hot research topic in the film industry. Resolution and frame rate are the main factors that affect the quality of a movie. To enhance resolution and frame rate,this paper introduces the implementation methods of video frame interpolation and video super-resolution based on deep learning,and analyzes the case studies of movie quality enhancement,stating that coordinating different technologies is very important for image quality enhancement.