Video deflickering using multi-frame optimization

Chao Li, Zhihua Chen, Bin Sheng, Ping Li, Gaoqi He

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


In this paper, we propose an approach of removing flickering artifacts in a video. The video is obtained via applying the image-based processing methods to an original non-flickering video. In traditional video deflickering methods, we always reconstruct flickering frames with nonflickering frames, which fail to keep video spatial consistency and are always designed to address certain video flickering artifact under specific condition. On the contrary, we propose a general multiple frames based video deflickering approach, where we take both temporal and spatial coherence into account. Instead of reconstructing a flickering frame only from its last frame, we warp multiple corresponding frames to reconstruct the flickering frame, so the warp inaccuracy in the reconstruction process can be reduced. By taking the advantage of video fidelity, temporal coherence and spatial coherence, we formulate video deflickeing objective as a least-squares energy. A non-flickering output video can be obtained via solving the constructed energy formulation with the least angle regression. Results of visual quality, objective measurement and user study demonstrate the efficiency of our proposed multiple frames based video deflickering approach.

Original languageEnglish
Title of host publication2018 IEEE 4th International Conference on Multimedia Big Data, BigMM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538653210
Publication statusPublished - Sept 2018
Externally publishedYes
Event4th IEEE International Conference on Multimedia Big Data, BigMM 2018 - Xi'an, China
Duration: 13 Sept 201816 Sept 2018

Publication series

Name2018 IEEE 4th International Conference on Multimedia Big Data, BigMM 2018


Conference4th IEEE International Conference on Multimedia Big Data, BigMM 2018


  • deflickering
  • multiple frames
  • spatial coherence
  • temporal coherence
  • Video processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Media Technology


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