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24 October 2017 A robust evaluation method for motion distortion of TDICCD image
Jiazi Huang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen, Zhenzhen Zheng
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104621L (2017) https://doi.org/10.1117/12.2283551
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
In the process of remote sensing imaging, the obtained TDICCD images are always accompanied by distortion due to relative motion between imaging platform and the target. Traditional image evaluation metrics like Structural Similarity Index Measurement (SSIM) or Peak Signal to Noise Ratio (PSNR) are general assessments of image quality, but do not clearly evaluate distortion level. Considering the special properties of TDICCD images, this paper proposes a robust evaluation method to quantitatively describe motion distortion. The proposed method contains mainly three steps: image line PSF estimation, calculation of PSF deviation and overall computation of motion distortion. Numerical experiments have been done to simulate TDICCD motion distortion images under different vibration conditions whose results are later evaluated by the proposed method. Results prove that our method provides precise and robust quantitative assessment for images of different degrees of motion distortion.
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Jiazi Huang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen, and Zhenzhen Zheng "A robust evaluation method for motion distortion of TDICCD image", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621L (24 October 2017); https://doi.org/10.1117/12.2283551
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KEYWORDS
Distortion
Image analysis
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