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Journals >
Acta Photonica Sinica >
Volume 51 >
Issue 11 >
Page 1110001 > Article
Acta Photonica Sinica
Vol. 51, Issue 11, 1110001 (2022)
High Dynamic Range Image Fusion Algorithm Based on Local Weighted Superposition
Lulu GUO
1、2
and Hongwei YI
1、*
Author Affiliations
1
Xi′an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi′an710119,China
2
University of Chinese Academy of Sciences,Beijing 100049,China
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DOI:
10.3788/gzxb20225111.1110001
Cite this Article
Lulu GUO, Hongwei YI. High Dynamic Range Image Fusion Algorithm Based on Local Weighted Superposition[J]. Acta Photonica Sinica, 2022, 51(11): 1110001
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Fig. 1.
Schematic diagram of fused HDR image of high-brightness image and low-brightness image
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Fig. 2.
Algorithm flow chart for judging pixel exposure
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Fig. 3.
Fusion algorithm flow chart of three exposure situations
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Fig. 4.
Pixel ratio factor curves for baseline and test image sets of three sets of images
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Fig. 5.
Fusion results of three groups of image under different size windows
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Fig. 6.
Fusion results of two sets of images with and without Gaussian noise
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Fig. 7.
Comparison of three sets of image fusion results
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PSNR
Szeliski’ method
Wavelet transform
Proposed method
Memorial
11.849 6
11.250 3
21.867 8
Syn
11.775 6
25.497 8
25.709 4
Belg
15.703 4
22.662 2
30.760 8
Table 1.
Peak signal-to-noise ratioof the fusion results of each algorithm
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SSIM
Szeliski’ method
Wavelet transform
Proposed method
Memorial
0.466 2
0.440 2
0.754 2
Syn
0.514 6
0.880 8
0.933 2
Belg
0.711 2
0.851 8
0.876 5
Table 2.
Structural similarity index measureof the fusion results of each algorithm
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Abstract
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References (27)
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Lulu GUO, Hongwei YI. High Dynamic Range Image Fusion Algorithm Based on Local Weighted Superposition[J]. Acta Photonica Sinica, 2022, 51(11): 1110001
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Paper Information
Special Issue:
Received: Apr. 14, 2022
Accepted: Apr. 21, 2022
Published Online: Nov. 25, 2022
The Author Email: YI Hongwei (Yihongwei@opt.ac.cn)
DOI:
10.3788/gzxb20225111.1110001
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