Real-time ghost free HDR video stream generation using weight adaptation based method

Mustapha Bouderbane 1, * Pierre-Jean Lapray 1, * Julien Dubois 1, * Barthélémy Heyrman 1, * Dominique Ginhac 1
* Auteur correspondant
1 Le2i - Laboratoire Electronique, Informatique et Image
Abstract : Temporal exposure bracketing is a simple and low cost technique to generate a high dynamic range (HDR) images. This technique is widely used to recover the whole dynamic range of a scene by selecting the adequate number of low dynamic range (LDR) images to be fused. Temporal exposure bracketing technique is introduced to be used for static scenes and it cannot be applied directly for dynamic scenes since camera or object motion in bracketed exposures creates ghosts in the resulting HDR image. In this paper we propose a HDR algorithm modification to remove ghost artifact and we present a real-time implementation of this method on a smart camera (HDR video stream 1280 x 1024 at 60fps). We present experimental results to show the ghost removing efficiency of our implemented method.
Type de document :
Communication dans un congrès
ICDSC '16 10th International Conference on Distributed Smart Camera , Sep 2016, Paris, France. ACM Press, ICDSC '16 Proceedings of the 10th International Conference on Distributed Smart Camera pp.116-120, 2016, 〈http://dl.acm.org/citation.cfm?doid=2967413.2967439〉. 〈10.1145/2967413.2967439〉
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01557701
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : jeudi 6 juillet 2017 - 14:39:14
Dernière modification le : lundi 9 avril 2018 - 10:40:09

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Mustapha Bouderbane, Pierre-Jean Lapray, Julien Dubois, Barthélémy Heyrman, Dominique Ginhac. Real-time ghost free HDR video stream generation using weight adaptation based method. ICDSC '16 10th International Conference on Distributed Smart Camera , Sep 2016, Paris, France. ACM Press, ICDSC '16 Proceedings of the 10th International Conference on Distributed Smart Camera pp.116-120, 2016, 〈http://dl.acm.org/citation.cfm?doid=2967413.2967439〉. 〈10.1145/2967413.2967439〉. 〈hal-01557701〉

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