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Volume 45 Issue 11
Nov.  2023
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QIU Qimeng, ZHANG Yajia, GAO Zhiqiang, SHAO Jianlong. Underwater Illumination Image Fusion Method Based on Color Correction[J]. Infrared Technology , 2023, 45(11): 1153-1160.
Citation: QIU Qimeng, ZHANG Yajia, GAO Zhiqiang, SHAO Jianlong. Underwater Illumination Image Fusion Method Based on Color Correction[J]. Infrared Technology , 2023, 45(11): 1153-1160.
shu

Underwater Illumination Image Fusion Method Based on Color Correction

  • 1.

    General Hospital of Police in Guizhou Province (GHPGP), Guiyang 550005, China

  • 2.

    College of Urban Construction, Yunnan Open University, Kunming 650500, China

  • 3.

    Faculty of information engineering and automation, Kunming University of Science and Technology, Kunming 650500, China

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  • Received Date: September 13, 2022
  • Revised Date: November 13, 2022
    Graphical Abstract
    • Abstract
  • We proposed a color-corrected underwater illumination image fusion method based on color correction to address uneven color shifts, low contrast, and blurred details in underwater illumination images. First, we exploited the pixel correlation between image channels to compensate for the red channel. Then, based on the color-corrected image, a sharpness-enhanced image is obtained using a nonlinear unsharp masking technique, and a global stretching map is obtained using a restricted histogram with Rayleigh distribution. Finally, we generated the fused image using a multi-scale fusion strategy. The experimental results on a self-built dataset (RULI) showed that the proposed method could remove the inhomogeneous scattering interference of mixed illumination in the imaging process and substantially improve the detail sharpness of the image. The mean values of the image quality assessment metrics UIQM and IE were 4.7399 and 7.7617, respectively, better than those of related algorithms in the existing literature.
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    • References (25)
  • [1]
    MENG L S, LIN Y, Gu H, et al. A new type of small un-derwater robot for small scale ocean observation[C]//IEEE Annual International Conference on Cyber Technology in Au-tomation, Control, and Intelligent Systems, 2016: 152-156.
    [2]
    LI C Y, Anwar S, Hou J, et al. Underwater image enhancement via medium transmission- guided multi-color space embedding[J]. IEEE Trans Image Process, 2021, 30: 4985-5000. DOI: 10.1109/TIP.2021.3076367
    [3]
    HE K M, SUN J, TANG X. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353. DOI: 10.1109/TPAMI.2010.168
    [4]
    Galdran A, Pardo D, Picón A, et al. Automatic red-channel underwater image restoration[J]. Journal of Visual Communication and Image Representation, 2015, 26: 132-145. DOI: 10.1016/j.jvcir.2014.11.006
    [5]
    Drews P L J, Nascimento E R, Botelho S S C, et al. Underwater depth estimation and image restoration based on single images[J]. IEEE Computer Graphics and Applications, 2016, 36(2): 24-35. DOI: 10.1109/MCG.2016.26
    [6]
    PENG Y T, CAO k, Cosman P C. Generalization of the dark channel prior for single image restoration[J]. IEEE Transactions on Image Processing, 2018, 27(6): 2856-2868. DOI: 10.1109/TIP.2018.2813092
    [7]
    朱佳琦, 周丽丽, 闫晶晶, 等. 结合改进红通道先验与幂律校正CLAHE的水下图像复原方法[J]. 红外技术, 2021, 43(7): 696-701. http://hwjs.nvir.cn/article/id/f67e3336-e395-449d-88a7-3752f030808f

    ZHU J Q, ZHOU L L, YAN J J, et al. Underwater image restoration method combining improved red channel prior and power law correction-based CLAHE algorithm[J]. Infrared Technology, 2021, 43(7): 696-701. http://hwjs.nvir.cn/article/id/f67e3336-e395-449d-88a7-3752f030808f
    [8]
    SONG W, WANG Y, HUANG D, et al. Enhancement of underwater images with statistical model of background light and optimization of transmission map[J]. IEEE Transactions on Broadcasting, 2020, 66(1): 153-169. DOI: 10.1109/TBC.2019.2960942
    [9]
    刘玉珍, 迟凯晨, 林森. 基于背景光估计与透射率优化的水下图像复原[J]. 激光与光电子学进展, 2020, 57(14): 141010. https://www.cnki.com.cn/Article/CJFDTOTAL-JGDJ202014011.htm

    LIU Y Z, CHI K C, LIN S. Underwater imagerestoration based on background light estimation and transmittance optimization[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141010. https://www.cnki.com.cn/Article/CJFDTOTAL-JGDJ202014011.htm
    [10]
    ZHOU J C, WANG Y Y, ZHANG W S, et al. Underwater image restoration via feature priors to estimate background light and optimized transmission map[J]. Opt Express, 2021, 29(18): 28228-28245. DOI: 10.1364/OE.432900
    [11]
    简梦真, 李旦, 张建秋. 基于非均匀入射光成像模型的水下图像复原[J]. 光学学报, 2021, 41(15): 1501003. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202115005.htm

    JIAN M Z, LI D, ZHANG J Q. Underwater image restoration based on non-uniform incident light imaging model[J]. Acta Optica Sinica, 2021, 41(15): 1501003. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202115005.htm
    [12]
    YU H, LI X, LOU Q, et al. Underwater image enhancement based on color-line model and homomorphic filtering[J]. Signal, Image and Video Processing, 2022, 16(1): 83-91. DOI: 10.1007/s11760-021-01960-z
    [13]
    赵欣慰, 金韬, 池灏, 等. 不同光照条件下水下成像背景光的建模与研究[J]. 物理学报, 2015, 64(10): 104201. https://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201510014.htm

    ZHAO X W, JIN T, CHI H, et al. Modeling and simulation of the background light in underwater imaging under different illumination conditions[J]. Acta Phys. Sin. , 2015, 64(10): 104201. https://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201510014.htm
    [14]
    Ancuti C, Ancuti C O, Haber T, et al. Enhancing underwater images and videos by fusion[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2012: 81-88.
    [15]
    Ancuti C O, Ancuti C, De Vleeschouwer C, et al. Color balance and fusion for underwater image enhancement[J]. IEEE Transactions on Image Processing, 2018, 27(1): 379-393. DOI: 10.1109/TIP.2017.2759252
    [16]
    张彩珍, 康斌龙, 李颖, 等. 基于差异通道增益及改进Retinex的水下图像增强[J]. 激光与光电子学进展, 2021, 58(14): 1410004. https://www.cnki.com.cn/Article/CJFDTOTAL-JGDJ202114014.htm

    ZHANG C Z, KANG B L, LI Y, et al. Underwater image enhancement based on differential channel gain and improved retinex[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410004. https://www.cnki.com.cn/Article/CJFDTOTAL-JGDJ202114014.htm
    [17]
    LI C, TANG S, Kwan H K, et al. Color correction based on cfa and enhancement based on Retinex with dense pixels for underwater images[J]. IEEE Access, 2020, 8: 155732-155741.
    [18]
    ZHANG W D, PAN X P, XIE X Y, et al. Color correction and adaptive contrast enhancement for underwater image enhancement[J]. Computers & Electrical Engineering, 2021, 91: 106981.
    [19]
    LI C Y, Anwar S, HOU J, et al. Underwater image enhancement via medium transmission-guided multi-color space embedding[J]. IEEE Trans Image Process, 2021, 30: 4985-5000.
    [20]
    DENG G. A Generalized unsharp masking algorithm[J]. IEEE Trans on Image Process, 2011, 20(5): 1249-1261.
    [21]
    Nielsen F, Nock R. Sided and symmetrized bregman centroids[J]. IEEE Trans Inform Theory, 2009, 55(6): 2882-2904.
    [22]
    KIM G, LEE S, KANG B, Single image haze removal using hazy particle maps[J]. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2018, E101-A(11): 1999-2002.
    [23]
    Ghani A S A, Isa N A M. Underwater image quality enhancement through integrated color model with Rayleigh distribution[J]. Applied Soft Computing, 2015, 27: 219-230.
    [24]
    ZHANG W, ZHUANG P, SUN H H, et al. Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement[J]. IEEE Transactions on Image Processing, 2022, 31: 3997-4010.
    [25]
    Panetta K, Gao C, Agaian S. Human-visual-system-inspired underwater image quality measures[J]. IEEE Journal of Oceanic Engineering, 2016, 41(3): 541-551.
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