• Laser & Optoelectronics Progress
  • Vol. 59, Issue 8, 0828001 (2022)
Chenhui Liu1、2、*, Zengshan Yin1, and Shuang Gao1
Author Affiliations
  • 1Innovation Academy for Microsatellites, Chinese Academy of Sciences, Shanghai 201203, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/LOP202259.0828001 Cite this Article Set citation alerts
    Chenhui Liu, Zengshan Yin, Shuang Gao. Motion Deblurring Algorithm Using Remote Sensing Image Sequence[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0828001 Copy Citation Text show less
    Remote sensing image sequences with different integration time
    Fig. 1. Remote sensing image sequences with different integration time
    Flow chart of deblurring algorithm based on remote sensing image sequences with different integration time
    Fig. 2. Flow chart of deblurring algorithm based on remote sensing image sequences with different integration time
    Comparison of short integration time image after enhancement and denoising
    Fig. 3. Comparison of short integration time image after enhancement and denoising
    Deblurring results of satellite remote sensing image 1. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Fig. 4. Deblurring results of satellite remote sensing image 1. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Deblurring results of satellite remote sensing image 2. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Fig. 5. Deblurring results of satellite remote sensing image 2. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Deblurring results of common scene image 1. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Fig. 6. Deblurring results of common scene image 1. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Deblurring results of common scene image 2. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Fig. 7. Deblurring results of common scene image 2. (a) Original blurred image; (b) algorithm in Ref. [18]; (c) algorithm in Ref. [11]; (d) algorithm in Ref. [19]; (e) proposed algorithm
    Comparison 1 of deblurring effects of different integration time combinations. (a) Original blurred image; (b) deblurred image 1; (c) deblurred image 2; (d) deblurred image 3; (e) deblurred image 4
    Fig. 8. Comparison 1 of deblurring effects of different integration time combinations. (a) Original blurred image; (b) deblurred image 1; (c) deblurred image 2; (d) deblurred image 3; (e) deblurred image 4
    Comparison 2 of deblurring effects of different integration time combinations. (a) Original blurred image; (b) deblurred image 1; (c) deblurred image 2; (d) deblurred image 3; (e) deblurred image 4
    Fig. 9. Comparison 2 of deblurring effects of different integration time combinations. (a) Original blurred image; (b) deblurred image 1; (c) deblurred image 2; (d) deblurred image 3; (e) deblurred image 4
    Test imageParameterAlgorithm in Ref.[18Algorithm in Ref.[11Algorithm in Ref.[19Proposed algorithm
    Fig. 4PSNR /dB20.4222.3521.9223.14
    SSIM /dB0.510.570.610.69
    RT /s50.3225.6178.1234.06
    Fig. 5PSNR /dB29.7529.1227.3330.59
    SSIM /dB0.710.620.640.81
    RT /s52.6826.9179.0536.74
    Fig. 6PSNR /dB23.3924.0622.7325.14
    SSIM /dB0.630.510.590.68
    RT /s46.3424.8372.0931.93
    Fig. 7PSNR /dB28.3425.4926.3328.79
    SSIM /dB0.770.670.620.86
    RT /s45.9824.2973.5131.54
    Table 1. Image deblurring quality evaluation results
    Test imageParameterDeblurred image 1Deblurred image 2Deblurred image 3Deblurred image 4
    Fig. 8PSNR /dB25.3426.1525.6926.44
    SSIM /dB0.790.820.740.84
    Fig. 9PSNR /dB21.2322.0221.5722.13
    SSIM /dB0.570.630.580.66
    Table 2. Evaluation results of deblurring quality under different integration time combinations
    Chenhui Liu, Zengshan Yin, Shuang Gao. Motion Deblurring Algorithm Using Remote Sensing Image Sequence[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0828001
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