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Technology of Graphic & Image
|
3820-3824

Video motion magnification method based on SPNet

Zhou Fei
Du Zhenlong
School of Computer Science & Technology, Nanjing Tech University, Nanjing 211816, China

Abstract

Video motion magnification technology is widely used in many fields, but because the motion of attention is too weak, it is easy to be confused with video noise, and it is easy to generate artifacts and fuzzy noise. In order to overcome the lack of detail in the traditional algorithm and the limitation of the learning-based algorithm on the magnification, this paper combined the manual design of the filter with the course learning strategy, and proposed a network structure based on the controllable pyramid decomposition, called SPNet(steerable pyramid networks). It could process a large motion range while also having a larger magnification range and could retain more details. The results of this method show that the image details are superior to the traditional algorithms and have great advantages compared with the machine learning based video motion magnification method.

Foundation Support

国家自然科学基金资助项目(61672279)
江苏省“六大人才高峰”资助项目(2012-WLW-023)
水文水资源与水利工程科学国家重点实验室开放基金资助项目(2016491411)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0571
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Technology of Graphic & Image
Pages: 3820-3824
Serial Number: 1001-3695(2020)12-063-3820-05

Publish History

[2020-12-05] Printed Article

Cite This Article

周飞, 杜振龙. 基于SPNet的视频运动放大方法 [J]. 计算机应用研究, 2020, 37 (12): 3820-3824. (Zhou Fei, Du Zhenlong. Video motion magnification method based on SPNet [J]. Application Research of Computers, 2020, 37 (12): 3820-3824. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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