Robust HDR Video Synthesis Using Superpixel-Based Illumination Invariant Motion Estimation

Tu Van Vo, Chul Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We propose a novel high dynamic range (HDR) video synthesis algorithm from alternatively exposed low dynamic range (LDR) videos. We first develop a superpixel-based motion estimation technique using an illumination-invariant feature descriptor. Then, we merge the warped frames to obtain the HDR frame. Experimental results demonstrate that the proposed algorithm provides high-quality HDR videos compared to state-of-the-art algorithms.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538658079
DOIs
StatePublished - 28 Nov 2018
Event2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of
Duration: 24 Jun 201826 Jun 2018

Publication series

Name2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Conference

Conference2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Country/TerritoryKorea, Republic of
CityJeJu
Period24/06/1826/06/18

Keywords

  • HDR imaging
  • High dynamic range (HDR) video

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