Sparse Prior-based Space Objects Image Blind Inversion Algorithm

Zheng-zhou LI; Lin QING; Bo LI; Cheng CHEN; Bo QI

doi:10.3788/gzxb20204902.0210001

Journals >Acta Photonica Sinica >Volume 49 >Issue 2 >Page 0210001 > Article

Acta Photonica Sinica
Vol. 49, Issue 2, 0210001 (2020)

Sparse Prior-based Space Objects Image Blind Inversion Algorithm

Zheng-zhou LI^{1、2、3、4}, Lin QING^1、2, Bo LI^1、2, Cheng CHEN^1、2, and Bo QI^3、4

Author Affiliations

¹College of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China

²Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China

³Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China

⁴Key Laboratory of Beam Control, Chinese Academy of Sciences, Chengdu 610209, China

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DOI: 10.3788/gzxb20204902.0210001 Cite this Article

Zheng-zhou LI, Lin QING, Bo LI, Cheng CHEN, Bo QI. Sparse Prior-based Space Objects Image Blind Inversion Algorithm[J]. Acta Photonica Sinica, 2020, 49(2): 0210001 Copy Citation Text

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Fig. 1. Intensity histogram and gradient histogram images of space object in deep space background

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Fig. 2. Intensity histogram and gradient histogram images of space object at different exposure levels

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Fig. 3. Intensity histogram and gradient histogram images of space object in ground background

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Fig. 4. Fitting the gradient distribution of space object image with each prior

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Fig. 5. Sparse representation of space object image

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Fig. 6. 海事卫星图像高斯退化反演结果比较Compare of inversion results of Gaussian degraded maritime satellite image

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Fig. 7. 空间站图像高斯退化反演结果比较Compare of inversion results of Gaussian degraded space station image

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Fig. 8. 海事卫星图像运动退化反演结果比较Compare of inversion results of motion degraded maritime satellite image

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Fig. 9. 空间站图像运动退化反演结果比较Compare of inversion results of motion degraded space station image

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Fig. 10. 月球观测图像反演结果比较Compare of inversion results of lunar observation image

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Fig. 11. 土星退化图像反演结果比较Compare of inversion results of real Saturn degraded image

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Standard deviation of Gaussian blur kernel	SSIM/GMG
Standard deviation of Gaussian blur kernel	Krishnan’s	Zhang’s	Perrone’s	Pan’s	Lin’s	Our method
σ=1	0.868/2.369	0.862/3.445	0.857/3.580	0.931/4.001	0.890/4.133	0.938/3.542
σ=2	0.868/1.780	0.873/2.391	0.864/2.314	0.923/2.362	0.917/2.612	0.928/2.632
σ=3	0.884/1.505	0.866/2.015	0.865/1.639	0.906/2.078	0.901/2.053	0.918/2.264
σ=4	0.878/1.423	0.869/1.908	0.864/1.670	0.879/1.877	0.890/1.997	0.914/2.116
σ=5	0.874/1.393	0.845/1.886	0.863/1.787	0.857/1.854	0.904/2.036	0.902/1.894

Table 1. SSIM and GMG of the inversion results of Gaussian degraded maritime satellite image

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Standard deviation of Gaussian blur kernel	SSIM/GMG
Standard deviation of Gaussian blur kernel	Krishnan’s	Zhang’s	Perrone’s	Pan’s	Lin’s	Our method
σ=1	0.873/8.617	0.776/8.656	0.515/9.442	0.903/9.348	0.926/9.784	0.947/9.981
σ=2	0.795/4.074	0.808/5.399	0.565/4.940	0.833/4.835	0.849/5.558	0.857/5.620
σ=3	0.734/3.640	0.710/4.734	0.558/4.200	0.772/4.654	0.801/4.811	0.824/4.665
σ=4	0.695/5.195	0.757/4.397	0.549/4.766	0.652/5.829	0.829/5.121	0.806/4.746
σ=5	0.674/5.013	0.685/4.483	0.548/5.069	0.636/6.383	0.824/5.005	0.834/4.955

Table 2. SSIM and GMG of the inversion results of Gaussian degraded space station image

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Blur scale of motion blur	SSIM/GMG
Blur scale of motion blur	Krishnan’s	Zhang’s	Perrone’s	Pan’s	Lin’s	Our method
9	0.859/3.934	0.885/3.532	0.841/3.706	0.891/4.126	0.936/4.063	0.951/3.983
13	0.875/3.369	0.863/3.187	0.856/3.163	0.850/3.711	0.928/3.627	0.935/3.814
17	0.876/3.617	0.859/3.059	0.853/2.998	0.822/3.434	0.916/3.561	0.921/3.729
21	0.820/3.143	0.852/2.916	0.854/2.953	0.799/3.455	0.913/3.485	0.915/3.492
25	0.815/3.248	0.846/2.713	0.853/2.652	0.814/3.179	0.904/3.259	0.898/3.310

Table 3. SSIM and GMG of the inversion results of motion degraded maritime satellite image

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Standard deviation of Gaussian blur kernel	SSIM/GMG
Standard deviation of Gaussian blur kernel	Krishnan’s	Zhang’s	Perrone’s	Pan’s	Lin’s	Our method
9	0.719/5.480	0.799/7.227	0.515/8.104	0.652/8.131	0.842/8.761	0.869/8.794
13	0.649/4.819	0.763/6.490	0.520/8.190	0.627/7.942	0.807/8.175	0.844/8.203
17	0.615/6.608	0.752/5.568	0.531/6.862	0.550/7.770	0.836/6.842	0.850/6.711
21	0.567/5.967	0.741/5.402	0.546/6.821	0.495/7.108	0.847/6.859	0.851/6.617
25	0.543/5.975	0.726/4.889	0.547/6.000	0.493/5.859	0.813/5.758	0.836/6.294

Table 4. SSIM and GMG of the inversion results of motion degraded space station image

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Degraded image	Evaluation indexes	Krishnan’s	Zhang’s	Perrone’s	Pan’s	Lin’s	Ours
lunar image	GMG	2.8182.845	2.8202.685	2.8643.264	2.8092.580	2.8493.110	2.8973.623
Saturn image	GMG	3.719 22.924 9	3.648 52.698 5	3.742 93.012 4	3.530 32.407 90	3.644 92.700 8	3.729 84.328 6

Table 5. Objective evaluation results of the estimated real space object image

Zheng-zhou LI, Lin QING, Bo LI, Cheng CHEN, Bo QI. Sparse Prior-based Space Objects Image Blind Inversion Algorithm[J]. Acta Photonica Sinica, 2020, 49(2): 0210001

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