• Acta Optica Sinica
  • Vol. 41, Issue 5, 0511001 (2021)
Zelin Xu, Dongming Lu*, Liping Wang, and Guohua Gu
Author Affiliations
  • School of Electronic Engineering and Optoelectronics Technology, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
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    DOI: 10.3788/AOS202141.0511001 Cite this Article Set citation alerts
    Zelin Xu, Dongming Lu, Liping Wang, Guohua Gu. Fringe Non-Uniformity Correction Method Based on Gray Difference Estimation[J]. Acta Optica Sinica, 2021, 41(5): 0511001 Copy Citation Text show less
    Relative positions of adjacent pixels in 4 cases. (a) Horizontal direction; (b) vertical direction; (c) right diagonal direction; (d) left diagonal direction
    Fig. 1. Relative positions of adjacent pixels in 4 cases. (a) Horizontal direction; (b) vertical direction; (c) right diagonal direction; (d) left diagonal direction
    Cumulative strip-type non-uniform noise
    Fig. 2. Cumulative strip-type non-uniform noise
    Function diagram of β(C)
    Fig. 3. Function diagram of β(C)
    Comparison of images before and after adding noise. (a) Original image; (b) noisy image
    Fig. 4. Comparison of images before and after adding noise. (a) Original image; (b) noisy image
    Correction effects of different methods on simulated non-uniformity. (a) Noisy images; (b) SLTH method; (c) CSAR method; (d) proposed method
    Fig. 5. Correction effects of different methods on simulated non-uniformity. (a) Noisy images; (b) SLTH method; (c) CSAR method; (d) proposed method
    Performance curves of different methods on simulated non-uniformity. (a) RMSE; (b) roughness
    Fig. 6. Performance curves of different methods on simulated non-uniformity. (a) RMSE; (b) roughness
    Correction effects of different methods on actual non-uniformity. (a) Noisy images; (b) SLTH method; (c) CASR method; (d) proposed method
    Fig. 7. Correction effects of different methods on actual non-uniformity. (a) Noisy images; (b) SLTH method; (c) CASR method; (d) proposed method
    Roughness comparison of different methods on actual non-uniformity
    Fig. 8. Roughness comparison of different methods on actual non-uniformity
    MethodSLTHCSARProposedmethod
    RMSE5.5725.9335.071
    Roughness0.0720.0830.063
    Table 1. Average correction effects of different methods on simulated non-uniformity
    MethodSLTHCSARProposedmethod
    Roughness0.0850.0930.065
    Table 2. Aerage roughness of different methods on actual non-uniformity
    Zelin Xu, Dongming Lu, Liping Wang, Guohua Gu. Fringe Non-Uniformity Correction Method Based on Gray Difference Estimation[J]. Acta Optica Sinica, 2021, 41(5): 0511001
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