Infrared and Laser Engineering, Volume. 51, Issue 4, 20210392(2022)
Removal of image motion blur caused by distortion in TDI remote-sensing image
Figures & Tables(9)
Fig. 1. Schematic diagram of TDI image motion blur caused by optical distortion
Fig. 3. Framework of semi-blind algorithm for estimating blur kernel
Fig. 7. Blur kernel estimation and deblurring of surface target image
Table 1. Similarity of blur kernel
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Images Image 1 Image 2 Image 3 Image 4 Image 5 Image 6 Image 7 Image 8 Average Std Zhang 0.839 6 0.7902 0.9184 0.9423 0.9627 0.9750 0.8621 0.4387 0.8411 0.1748 Krishnan 0.9290 0.8407 0.8690 0.7865 0.9197 0.9003 0.6539 0.8254 0.8406 0.0898 Proposed 0.9845 0.9804 0.9615 0.9610 0.9791 0.9789 0.9351 0.9521 0.9666 0.0172
Table 2. Comparison of blur kernel estimation time (Unit: s)
View tableView in ArticleTable 2. Comparison of blur kernel estimation time (Unit: s)
Image size Krishnan Zhang Proposed method 150×150 3.271 5.203 4.852 300×352 4.225 17.551 16.011 412×525 8.469 37.761 34.445 600×734 17.131 79.802 35.437
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Sumei Xue, Yuyu Tang, Xiaoxian Huang, Jun Wei. Removal of image motion blur caused by distortion in TDI remote-sensing image[J]. Infrared and Laser Engineering, 2022, 51(4): 20210392
Paper Information
Category: Image processing
Received: Dec. 20, 2021
Accepted: --
Published Online: May. 18, 2022
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