Multi-frame image restoration method for novel rotating synthetic aperture imaging system

Zhi, Xu; Jiang, Shikai; Hu, Jianming; Yu, Lijian; Song, Xinhui; Gong, Jinnan

doi:10.1016/j.rinp.2021.103991

Cited by 15 publications

(5 citation statements)

References 23 publications

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“…In recent years, an increasing number of research institutions have carried out relevant researches of the RSA imaging technology [17]. The PSF of the RSA imaging system varies with the primary lens rotation angle, which presents the asymmetric spatial distribution (Figure 9) [18]. Zhou et al conducted the real shot experiment of the RSA system, and proposed an image synthesis approach based on multi-frame deconvolution (Figure 10) [19].…”

Section: Rotating Synthetic Aperture Imaging Technologymentioning

confidence: 99%

Development of new ultra-large aperture optical remote sensing imaging technology

Niu

Zhi

Jiang

et al. 2023

Second International Conference on Optoelectronic Information and Computer Engineering (OICE 2023)

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With the rapid development of earth observation by optical remote sensing satellites, there is an urgent requirement of remote sensing data with high-resolution in environmental monitoring, urban planning and other applications. The resolution of remote sensing images (RSIs) significantly depends on the aperture size of space imaging system. However, limited by manufacturing level and carrying capacity, the traditional optical materials and reflection/refraction imaging principle have encountered a bottleneck in the manufacturing of space imaging system with ultra-large aperture and lightweight. Consequently, it is necessary to develop brand new space optical imaging systems. In this paper, we summarize the imaging mechanism and development history of three ultra-large aperture imaging technologies, including synthetic aperture imaging technology, diffractive membrane imaging technology and rotating synthetic aperture imaging technology, and analyze the challenges existing in their application.

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Section: Rotating Synthetic Aperture Imaging Technologymentioning

confidence: 99%

Development of new ultra-large aperture optical remote sensing imaging technology

Niu

Zhi

Jiang

et al. 2023

Second International Conference on Optoelectronic Information and Computer Engineering (OICE 2023)

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“…During the imaging process, the primary mirror rotates around the center to achieve the aperture equivalent to the long side of the rectangle at different rotation angles. The RSA system is lightweight, easy to manufacture, and one of the most promising technical approaches for optical remote sensing in stationary orbit 8 .…”

Section: Introductionmentioning

confidence: 99%

“…While these methods demonstrate satisfactory synthesis effects for sequence images with significant noise, they fail to adequately address the challenges of image registration arising from satellite platform vibrations during on-orbit applications. To address this issue, Zhi et al presented an image registration and restoration method based on the theory of mutual information 8 . However, the aforementioned methods all fall under the category of traditional image quality enhancement methods that require multiple input frames.…”

Section: Introductionmentioning

confidence: 99%

Characterization and experimental verification of the rotating synthetic aperture optical imaging system

Sun,

Zhi,

Zhang

et al. 2023

Sci Rep

Self Cite

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The rotating synthetic aperture (RSA) optical imaging system employs a rectangular primary mirror for detection. During the imaging process, the primary mirror rotates around the center to achieve the aperture equivalent to the long side of the rectangle at different rotation angles. As a result, the system’s point spread function changes over time, causing periodic time-varying characteristics in the acquired images’ resolution. Moreover, due to the rectangular primary mirror, the images obtained by the RSA system are spatially asymmetric, with a lower resolution in the short side’s direction than in the long side’s direction. Hence, image processing techniques are necessary to enhance the image quality. To provide reference for the study of image quality improvement methods, we first characterize the imaging quality degradation mechanism of the RSA system and the time–space evolution law of the imaging process. We then establish an imaging experiment platform to simulate the dynamic imaging process of the RSA system. We quantify the RSA system’s impact on image degradation using objective indexes. Subsequently, by comparing the imaging experiment results with theoretical analysis, we verify the spatially asymmetric and temporally periodic imaging characteristics of the RSA system. Lastly, we introduce image super-resolution experiments to assess the limitations of directly applying generic deep learning-based single image super-resolution methods to the images captured by the RSA system, thereby revealing the challenges involved in improving image quality for the RSA system.

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“…Also, the proximal alternating adaptive hard thresholding (PAAHT) algorithm is proposed to solve nonconvex nonsmooth optimization problem. To address the problems of Rotating Synthetic Aperture (RSA) imaging system, an image restoration approach is presented by Zhi et al [9]. In this work, the characteristics of image degradation analysis and mutual information are combined.…”

Section: Introductionmentioning

confidence: 99%

Image Restoration by Projection onto Convex Sets with Particle Swarm Parameter Optimization

Rashno

Fadaei

2023

IJE

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Image restoration is the operation of obtaining a high-quality image from a corrupt/noisy image and is widely used in many applications such as Magnetic Resonance Imaging (MRI) and fingerprint identification. This paper proposes an image restoration model based on projection onto convex sets (POCS) and particle swarm optimization (PSO). For this task, a number of convex sets are used as constraints and images are projected to these sets iteratively to reach restored image. Since relaxation parameter in POCS has a significant effect on restoration results, PSO is developed to find the best value for this parameter to be used in restoration process. The proposed scheme for image restoration is evaluated on three popular images with 4 configurations of noise, compared with 5 competitive restoration models. Results demonstrate that the proposed method outperforms other models in 32 out of 48 cases in images with different noise configurations with respect to relative error, ISNR, MAE and MSE measures.

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Multi-frame image restoration method for novel rotating synthetic aperture imaging system

Cited by 15 publications

References 23 publications

Development of new ultra-large aperture optical remote sensing imaging technology

Development of new ultra-large aperture optical remote sensing imaging technology

Characterization and experimental verification of the rotating synthetic aperture optical imaging system

Image Restoration by Projection onto Convex Sets with Particle Swarm Parameter Optimization

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