Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2018 Picture Coding Symposium, PCS 2018 - Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 209-213 |
| Seitenumfang | 5 |
| ISBN (Print) | 9781538641606 |
| Publikationsstatus | Veröffentlicht - 6 Sept. 2018 |
| Veranstaltung | 33rd Picture Coding Symposium, PCS 2018 - San Francisco, USA / Vereinigte Staaten Dauer: 24 Juni 2018 → 27 Juni 2018 |
Abstract
This paper aims at simplified high dynamic range (HDR) image generation with non-modified, conventional camera sensors. One typical HDR approach is exposure bracketing, e.g. with varying shutter speeds. It requires to capture the same scene multiple times at different exposure times. These pictures are then merged into a single HDR picture which typically is converted back to an 8-bit image by using tone-mapping. Existing works on HDR imaging focus on image merging and tone mapping whereas we aim at simplified image acquisition. The proposed algorithm can be used in consumer-level cameras without hardware modifications at sensor level. Based on intermediate samplings of each sensor element during the total (pre-defined) exposure time, we extrapolate the luminance of sensor elements which are saturated after the total exposure time. Compared to existing HDR approaches which typically require three different images with carefully determined exposure times, we only take one image at the longest exposure time. The shortened total time between start and end of image acquisition can reduce ghosting artifacts. The experimental evaluation demonstrates the effectiveness of the algorithm.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Medientechnik
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2018 Picture Coding Symposium, PCS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. S. 209-213 8456268.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Physical High Dynamic Range Imaging with Conventional Sensors
AU - Meuel, Holger
AU - Ackermann, Hanno
AU - Rosenhahn, Bodo
AU - Ostermann, Jörn
PY - 2018/9/6
Y1 - 2018/9/6
N2 - This paper aims at simplified high dynamic range (HDR) image generation with non-modified, conventional camera sensors. One typical HDR approach is exposure bracketing, e.g. with varying shutter speeds. It requires to capture the same scene multiple times at different exposure times. These pictures are then merged into a single HDR picture which typically is converted back to an 8-bit image by using tone-mapping. Existing works on HDR imaging focus on image merging and tone mapping whereas we aim at simplified image acquisition. The proposed algorithm can be used in consumer-level cameras without hardware modifications at sensor level. Based on intermediate samplings of each sensor element during the total (pre-defined) exposure time, we extrapolate the luminance of sensor elements which are saturated after the total exposure time. Compared to existing HDR approaches which typically require three different images with carefully determined exposure times, we only take one image at the longest exposure time. The shortened total time between start and end of image acquisition can reduce ghosting artifacts. The experimental evaluation demonstrates the effectiveness of the algorithm.
AB - This paper aims at simplified high dynamic range (HDR) image generation with non-modified, conventional camera sensors. One typical HDR approach is exposure bracketing, e.g. with varying shutter speeds. It requires to capture the same scene multiple times at different exposure times. These pictures are then merged into a single HDR picture which typically is converted back to an 8-bit image by using tone-mapping. Existing works on HDR imaging focus on image merging and tone mapping whereas we aim at simplified image acquisition. The proposed algorithm can be used in consumer-level cameras without hardware modifications at sensor level. Based on intermediate samplings of each sensor element during the total (pre-defined) exposure time, we extrapolate the luminance of sensor elements which are saturated after the total exposure time. Compared to existing HDR approaches which typically require three different images with carefully determined exposure times, we only take one image at the longest exposure time. The shortened total time between start and end of image acquisition can reduce ghosting artifacts. The experimental evaluation demonstrates the effectiveness of the algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85053878190&partnerID=8YFLogxK
U2 - 10.1109/pcs.2018.8456268
DO - 10.1109/pcs.2018.8456268
M3 - Conference contribution
AN - SCOPUS:85053878190
SN - 9781538641606
SP - 209
EP - 213
BT - 2018 Picture Coding Symposium, PCS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Picture Coding Symposium, PCS 2018
Y2 - 24 June 2018 through 27 June 2018
ER -