Abstract
High-dynamic range images can be created by combining multiple images of a scene with varying exposures, and the resulting images may contain ghosting artifacts due to the presence of movement in the scene at the time of capture. To address this problem, most of the existing algorithms conduct ghost detection techniques followed by a ghost region filling with the probable radiance of the scene. In this paper, we propose a novel ghost-removal procedure that does not require precise ghost detection and does not suffer from color artifacts. Results show that the newly devised algorithm performs better than the ones described in the previous research.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Debevec PE, Malik J (1997) Recovering high dynamic range radiance maps from photographs. Computer graphics. Annual conference series, vol 31, pp 369–378
Bogoni L (2000) Extending dynamics range of monochrome and color images through fusion. In: Proceedings of the 15th international conference on pattern recognition, proceedings, vol 3, pp 7–12
Kang SB, Uyttendaele M, Winder S, Szeliski R (2003) High dynamic range video. ACM Trans Graph 22:319-325
Wang JYA, Adelson EH (1994) Representing moving images with layers. IEEE Trans Image Process 3(5):625–638
Reinhard E, Debevec P, Ward G, Pattanaik S (2005) High, dynamic range imaging and image—based lighting. In: SIGGRAPH 05: ACM SIGGRAPH, courses. ACM press, New York, NY, USA, p 2005
Jacobs K, Loscos C, Ward G (2008) Automatic high-dynamic range image generation for dynamic scenes. Comput Graph Appl IEEE 28(2):84–93
Yan Q, Sun J, Haisen Li Y, Zhu YZ (2017) High dynamic range imaging by sparse representation. Neurocomputing 269(20):160–169
Ma K, Li H, Yong H, Wang Z, Meng D, Zhang L (2017) Robust multi-exposure image fusion: a structural patch decomposition approach. IEEE Trans Image Process 26(5)
Khan E, Akyiiz A, Reinhard E (2005-2008) Oct. Ghost removal in high dynamic range images. In: Proceedings of the 2006 IEEE international conference on image processing
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mahmud, A., Haque, R.U., Akhtaruzzaman Adnan, M., Sultan Al Mahmud, H.M. (2020). A Novel Method for Ghost Removal in High-Dynamic Range Images. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3607-6_44
Download citation
DOI: https://doi.org/10.1007/978-981-15-3607-6_44
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3606-9
Online ISBN: 978-981-15-3607-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)