• Laser & Optoelectronics Progress
  • Vol. 57, Issue 8, 081001 (2020)
Xiaoying Li*, Hengjie Yang, Zheng Yan, Fang Lian, and Meiqin Wu
Author Affiliations
  • College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian 361021, China
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    DOI: 10.3788/LOP57.081001 Cite this Article Set citation alerts
    Xiaoying Li, Hengjie Yang, Zheng Yan, Fang Lian, Meiqin Wu. Image Background Blurring Algorithm Based on Color Constancy[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081001 Copy Citation Text show less
    Flow diagram of image background blurring based on color constancy
    Fig. 1. Flow diagram of image background blurring based on color constancy
    Image comparison. (a) Original image; (b) image after color constancy processing
    Fig. 2. Image comparison. (a) Original image; (b) image after color constancy processing
    Comparison of two estimation depth maps. (a) tc; (b) tv
    Fig. 3. Comparison of two estimation depth maps. (a) tc; (b) tv
    Image processed by soft matting algorithm.(a)Processing of Fig. 3(a1); (b) processing of Fig.3(a2); (c) processing of Fig.3(a3); (d) processing of Fig.3(a4)
    Fig. 4. Image processed by soft matting algorithm.(a)Processing of Fig. 3(a1); (b) processing of Fig.3(a2); (c) processing of Fig.3(a3); (d) processing of Fig.3(a4)
    Foreground and background of the image.(a) Foreground image; ( b) background image
    Fig. 5. Foreground and background of the image.(a) Foreground image; ( b) background image
    Pixel change map after Gaussian filtering
    Fig. 6. Pixel change map after Gaussian filtering
    Contrast image before and after image background blurring processing. (a) Before blurring processing; (b) after blurring processing
    Fig. 7. Contrast image before and after image background blurring processing. (a) Before blurring processing; (b) after blurring processing
    ItemHUAWEI mate20iPhone XVivo x27Our paper
    Number2221
    Methodbinocular depthestimationbinocular depthestimationbinocular depthestimationmonocular depthestimation
    Table 1. Image blurring algorithm and number of cameras for different type of telephones
    AlgorithmProcessing objectAuto completionMonocular/Binocular
    Literature[1]variousyesbinocular
    Literature[22]variousnomonocular
    Literature[24]singleyesmonocular
    Our papervariousyesmonocular
    Table 2. Comparison of performance of several algorithms
    EvaluationFig.7(b1)Fig.7(b2)Fig.7(b3)Fig.7(b4)Test accuracy /%
    Correct16016014316089.375
    Error0017010.625
    Table 3. Results of the investigation on the effect evaluation of background blurring
    Xiaoying Li, Hengjie Yang, Zheng Yan, Fang Lian, Meiqin Wu. Image Background Blurring Algorithm Based on Color Constancy[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081001
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