• Laser & Optoelectronics Progress
  • Vol. 60, Issue 12, 1210022 (2023)
Shuangshuang Zheng, Wenxue Wei*, and Cong Xu
Author Affiliations
  • School of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
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    DOI: 10.3788/LOP221707 Cite this Article Set citation alerts
    Shuangshuang Zheng, Wenxue Wei, Cong Xu. Low Illumination Image Enhancement Algorithm Combining Total Variation and Gamma[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210022 Copy Citation Text show less
    References

    [1] Jobson D J, Rahman Z, Woodell G A. Properties and performance of a center/surround retinex[J]. IEEE Transactions on Image Processing, 6, 451-462(1997).

    [2] Jobson D J, Rahman Z, Woodell G A. A multiscale retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing, 6, 965-976(1997).

    [3] Rahman Z U, Jobson D J, Woodell G A. Retinex processing for automatic image enhancement[J]. Journal of Electronic Imaging, 13, 100-110(2004).

    [4] Alajarmeh A, Salam R A, Abdulrahim K et al. Real-time framework for image dehazing based on linear transmission and constant-time airlight estimation[J]. Information Sciences, 436/437, 108-130(2018).

    [5] Kimmel R, Elad M, Shaked D et al. A variational framework for retinex[J]. International Journal of Computer Vision, 52, 7-23(2003).

    [6] Ng M K, Wang W. A total variation model for retinex[J]. SIAM Journal on Imaging Sciences, 4, 345-365(2011).

    [7] Lan X, Shen H F, Zhang L P et al. A spatially adaptive Retinex variational model for the uneven intensity correction of remote sensing images[J]. Signal Processing, 101, 19-34(2014).

    [8] Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D: Nonlinear Phenomena, 60, 259-268(1992).

    [9] Yang X, Huang Y M, Sun L. A modulus iteration method for Retinex problem[J]. Numerical Linear Algebra with Applications, 25, e2207(2018).

    [10] Xu J, Hou Y K, Ren D W et al. STAR: a structure and texture aware Retinex model[J]. IEEE Transactions on Image Processing, 29, 5022-5037(2020).

    [11] Cai B L, Xu X M, Guo K L et al. A joint intrinsic-extrinsic prior model for retinex[C], 4020-4029(2017).

    [12] Tseng P. Convergence of a block coordinate descent method for nondifferentiable minimization[J]. Journal of optimization theory and applications, 109, 475-494(2001).

    [13] Huang L H, Cao G, Yu L F. Efficient contrast enhancement with truncated adaptive Gamma correction[C], 189-194(2016).

    [14] Wei C, Wang W J, Yang W H et al. Deep retinex decomposition for low-light enhancement[EB/OL]. https://arxiv.org/abs/1808.04560

    [15] Chen X Y, Li J J, Hua Z. Low-light image enhancement based on exponential Retinex variational model[J]. IET Image Processing, 15, 3003-3019(2021).

    [16] Fu X Y, Zeng D L, Huang Y et al. A weighted variational model for simultaneous reflectance and illumination estimation[C], 2782-2790(2016).

    [17] Cheng Z, Zhao N J, Yin G F et al. Identification method of planktonic algae community based on multi-task convolutional neural network[J]. Acta Optica Sinica, 42, 0530002(2022).

    Shuangshuang Zheng, Wenxue Wei, Cong Xu. Low Illumination Image Enhancement Algorithm Combining Total Variation and Gamma[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210022
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