Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:P1
Session:
Number:P1-16
Visual Salience based Exposure Fusion Algorithm for Ghost Removal in High-dynamic-range Imaging
Zijie Wang, Qin Liu, Tongwei Ren, Bin Luo, Takeshi Ikenaga ,
pp.891-894
Publication Date:2016/7/10
Online ISSN:2188-5079
DOI:10.34385/proc.61.P1-16
PDF download (7.2MB)
Summary:
High-dynamic-range Imaging(HDRI) techniques are proposed to present a similar range of luminance as the true image we capture through our visual system. To extend the limited dynamic range of camera sensors, HDRI synthesis techniques merge multi-exposures images. One main problem in HDR image synthesis is removing ghost artifacts caused by moving objects. The proposed algorithm computes visual saliency to constrain the distance calculation for moving areas detection and modifies the exposure fusion method with moving objects masks and saliency maps.