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 language | English |
|---|---|
| Title of host publication | 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9786163618238 |
| DOIs | |
| Publication status | Published - 2014 Feb 12 |
| Event | 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand Duration: 2014 Dec 9 → 2014 Dec 12 |
Other
| Other | 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 |
|---|---|
| Country | Thailand |
| City | Chiang Mai |
| Period | 14/12/9 → 14/12/12 |
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Keywords
- Exposure Fusion
- Ghost Detection and Removal
- High Dynamic Range Video
- Motion Estimation
ASJC Scopus subject areas
- Signal Processing
- Information Systems
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Motion area based exposure fusion algorithm for ghost removal in high dynamic range video generation
AU - Huang, Shu Yi
AU - Liu, Qin
AU - Wang, Hao
AU - Ikenaga, Takeshi
PY - 2014/2/12
Y1 - 2014/2/12
N2 - 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.
AB - 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.
KW - Exposure Fusion
KW - Ghost Detection and Removal
KW - High Dynamic Range Video
KW - Motion Estimation
UR - http://www.scopus.com/inward/record.url?scp=84949924236&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949924236&partnerID=8YFLogxK
U2 - 10.1109/APSIPA.2014.7041597
DO - 10.1109/APSIPA.2014.7041597
M3 - Conference contribution
AN - SCOPUS:84949924236
SN - 9786163618238
BT - 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -