Ghost Detection and Removal for High Dynamic Range Images: Recent Advances

Abstract : High dynamic range (HDR) image generation and display technologies are becoming increasingly popular in various applications. A standard and commonly used approach to obtain an HDR image is the multiple exposures fusion technique which consists of combining multiple images of the same scene with varying exposure times. However, if the scene is not static during the sequence acquisition, moving objects manifest themselves as ghosting artefacts in the final HDR image. Detecting and removing ghosting artefacts is an important issue for automatically generating HDR images of dynamic scenes. The aim of this paper is to provide an up-to-date review of the recently proposed methods for ghost-free HDR image generation. Moreover, a classification and comparison of the reviewed methods is reported to serve as a useful guide for future research on this topic.
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Contributeur : Désiré Sidibé <>
Soumis le : vendredi 9 mars 2012 - 09:22:51
Dernière modification le : mercredi 12 septembre 2018 - 01:27:50
Document(s) archivé(s) le : jeudi 14 juin 2012 - 16:38:39


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Abhilash Srikantha, Désiré Sidibé. Ghost Detection and Removal for High Dynamic Range Images: Recent Advances. Signal Processing: Image Communication, Elsevier, 2012, pp.10.1016/j.image.2012.02.001. ⟨10.1016/j.image.2012.02.001⟩. ⟨hal-00671579⟩



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