Motion area based exposure fusion algorithm for ghost removal in high dynamic range video generation

Shu Yi Huang, Qin Liu, Hao Wang, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

High dynamic range (HDR) image is becoming prevalent for its superiority in recording details of the real-world scene. A conventional exposure fusion method can be utilized to generate a HDR image from a set of differently exposed low dynamic range (LDR) images according to their weight maps. However, this method causes ghosts in the HDR image if there are moving objects or the background changes in the LDR image sequence. Thus, conventional exposure fusion method is only suitable for HDR image generation, not for HDR video generation. A motion area based exposure fusion algorithm is therefore proposed to remove ghosts in HDR video generation. First, the motion areas are detected using block matching based motion estimation method. Then those areas are combined as an additional measurement to change values of original weight maps. The subjective and objective experimental results show ghost-free and highly detailed exposure fused image sequences from HDR videos.

Original languageEnglish
Title of host publication2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9786163618238
DOIs
Publication statusPublished - 2014 Feb 12
Event2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
Duration: 2014 Dec 92014 Dec 12

Other

Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
CountryThailand
CityChiang Mai
Period14/12/914/12/12

Fingerprint

Fusion reactions
Motion estimation

Keywords

  • Exposure Fusion
  • Ghost Detection and Removal
  • High Dynamic Range Video
  • Motion Estimation

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems

Cite this

Huang, S. Y., Liu, Q., Wang, H., & Ikenaga, T. (2014). Motion area based exposure fusion algorithm for ghost removal in high dynamic range video generation. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 [7041597] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2014.7041597

Motion area based exposure fusion algorithm for ghost removal in high dynamic range video generation. / Huang, Shu Yi; Liu, Qin; Wang, Hao; Ikenaga, Takeshi.

2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7041597.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, SY, Liu, Q, Wang, H & Ikenaga, T 2014, Motion area based exposure fusion algorithm for ghost removal in high dynamic range video generation. in 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014., 7041597, Institute of Electrical and Electronics Engineers Inc., 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Chiang Mai, Thailand, 14/12/9. https://doi.org/10.1109/APSIPA.2014.7041597
Huang SY, Liu Q, Wang H, Ikenaga T. Motion area based exposure fusion algorithm for ghost removal in high dynamic range video generation. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7041597 https://doi.org/10.1109/APSIPA.2014.7041597
Huang, Shu Yi ; Liu, Qin ; Wang, Hao ; Ikenaga, Takeshi. / Motion area based exposure fusion algorithm for ghost removal in high dynamic range video generation. 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014. Institute of Electrical and Electronics Engineers Inc., 2014.
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