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Optical Engineering

Guided filter-based fusion method for multiexposure images
Author(s): Xinglin Hou; Haibo Luo; Feng Qi; Peipei Zhou
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Paper Abstract

It is challenging to capture a high-dynamic range (HDR) scene using a low-dynamic range camera. A weighted sum-based image fusion (IF) algorithm is proposed so as to express an HDR scene with a high-quality image. This method mainly includes three parts. First, two image features, i.e., gradients and well-exposedness are measured to estimate the initial weight maps. Second, the initial weight maps are refined by a guided filter, in which the source image is considered as the guidance image. This process could reduce the noise in initial weight maps and preserve more texture consistent with the original images. Finally, the fused image is constructed by a weighted sum of source images in the spatial domain. The main contributions of this method are the estimation of the initial weight maps and the appropriate use of the guided filter-based weight maps refinement. It provides accurate weight maps for IF. Compared to traditional IF methods, this algorithm avoids image segmentation, combination, and the camera response curve calibration. Furthermore, experimental results demonstrate the superiority of the proposed method in both subjective and objective evaluations.

Paper Details

Date Published: 9 November 2016
PDF: 12 pages
Opt. Eng. 55(11) 113101 doi: 10.1117/1.OE.55.11.113101
Published in: Optical Engineering Volume 55, Issue 11
Show Author Affiliations
Xinglin Hou, Univ. of Chinese Academy of Sciences (China)
Chinese Academy of Sciences (China)
Haibo Luo, Shenyang Institute of Automation (China)
Chinese Academy of Sciences (China)
Feng Qi, Shenyang Institute of Automation (China)
Chinese Academy of Sciences (China)
Peipei Zhou, Univ. of Chinese Academy of Sciences (China)
Chinese Academy of Sciences (China)


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