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Nighttime images fusion based on Laplacian pyramid
Author(s): Cong Wu; Jinhao Zhan; Jicheng Jin
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Paper Abstract

This paper expounds method of the average weighted fusion, image pyramid fusion, the wavelet transform and apply these methods on the fusion of multiple exposures nighttime images. Through calculating information entropy and cross entropy of fusion images, we can evaluate the effect of different fusion. Experiments showed that Laplacian pyramid image fusion algorithm is suitable for processing nighttime images fusion, it can reduce the halo while preserving image details.

Paper Details

Date Published: 19 February 2018
PDF: 7 pages
Proc. SPIE 10607, MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis, 106070X (19 February 2018); doi: 10.1117/12.2305835
Show Author Affiliations
Cong Wu, Hubei Univ. of Technolgy (China)
Jinhao Zhan, Hubei Univ. of Technolgy (China)
Jicheng Jin, Hubei Univ. of Technolgy (China)


Published in SPIE Proceedings Vol. 10607:
MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jun Zhang; Hongshi Sang, Editor(s)

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