TY - GEN
T1 - Visual salience and stack extension based ghost removal for high-dynamic-range imaging
AU - Wang, Zijie
AU - Liu, Qin
AU - Ikenaga, Takeshi
N1 - Funding Information:
This work was supported by the Natural Science Foundation of Jiangsu, China (Grant No. BK20130588) and KAKENHI (16K13006).
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/20
Y1 - 2018/2/20
N2 - High-dynamic-range imaging (HDRI) techniques are proposed to extend the dynamic range of captured images against sensor limitation. The key issue of multi-exposure fusion in HDRI is removing ghost artifacts caused by motion of moving objects and handheld cameras. This paper proposes a ghost-free HDRI algorithm based on visual salience and stack extension. To improve the accuracy of ghost areas detection, visual salience based bilateral motion detection is introduced to measure image differences. For exposure fusion, the proposed algorithm reduces brightness discontinuity and enhances details by stack extension, and rejects the information of ghost areas to avoid artifacts via fusion masks. Experiment results show that the proposed algorithm can remove ghost artifacts accurately for both static and handheld cameras, remain robust to scenes with complex motion and keep low complexity over recent advances including patch based method and rank minimization based method by 20.4% and 63.6% time savings on average.
AB - High-dynamic-range imaging (HDRI) techniques are proposed to extend the dynamic range of captured images against sensor limitation. The key issue of multi-exposure fusion in HDRI is removing ghost artifacts caused by motion of moving objects and handheld cameras. This paper proposes a ghost-free HDRI algorithm based on visual salience and stack extension. To improve the accuracy of ghost areas detection, visual salience based bilateral motion detection is introduced to measure image differences. For exposure fusion, the proposed algorithm reduces brightness discontinuity and enhances details by stack extension, and rejects the information of ghost areas to avoid artifacts via fusion masks. Experiment results show that the proposed algorithm can remove ghost artifacts accurately for both static and handheld cameras, remain robust to scenes with complex motion and keep low complexity over recent advances including patch based method and rank minimization based method by 20.4% and 63.6% time savings on average.
KW - Exposure fusion
KW - Ghost removal
KW - High-dynamic-range imaging (HDRI)
KW - Motion detection
KW - Visual salience
UR - http://www.scopus.com/inward/record.url?scp=85045341518&partnerID=8YFLogxK
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U2 - 10.1109/ICIP.2017.8296681
DO - 10.1109/ICIP.2017.8296681
M3 - Conference contribution
AN - SCOPUS:85045341518
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2244
EP - 2248
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
T2 - 24th IEEE International Conference on Image Processing, ICIP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -