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 |
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| 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 |
Keywords
- Exposure Fusion
- Ghost Detection and Removal
- High Dynamic Range Video
- Motion Estimation
ASJC Scopus subject areas
- Signal Processing
- Information Systems