Image stabilization system on SOLAR-B Solar Optical Telescope

Shimizu, Toshifumi; Nagata, Shinji; Edwards, Christopher G.; Tarbell, T. D.; Kashiwagi, Yukiyasu; Kodeki, Kazuhide; Ito, Osamu; Miyagawa, Hiroyuki; Nagase, Masayuki; Inoue, Syunsaku; Kaneko, Kazumasa; Sakamoto, Yasushi; Ichimoto, Kiyoshi; Tsuneta, S.; Miki, Satoko; Endo, Mamoru; Tabata, Masaki; Nakaoji, Toshitaka; Matsuzaki, Keiichi; Kobayashi, K.; Otsubo, Masahisa; Suematsu, Y.; Kumagai, Kazuyoshi; Noguchi, Motokazu; Tamura, Takuya; Nakagiri, M.

doi:10.1117/12.551368

Cited by 5 publications

(4 citation statements)

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“…The calculation of the paraboloid [Eq. (10)] can be done easily if floating point numbers 44 are available. However, floating point numbers will require a larger number of resources than the fixed point counterparts.…”

Section: Subpixel Paraboloid Interpolation Algorithmmentioning

confidence: 99%

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Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

Roma

Carmona²,

Bosch³

et al. 2019

J. Astron. Telesc. Instrum. Syst.

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The polarimetric and helioseismic imager instrument for the Solar Orbiter mission from the European Space Agency requires a high stability while capturing images, specially for the polarimetric ones. For this reason, an image stabilization system has been included in the instrument. It uses global motion estimation techniques to estimate the jitter in real time with subpixel resolution. Due to instrument requirements, the algorithm has to be implemented in a Xilinx Virtex-4QV field programmable gate array. The algorithm includes a 2-D paraboloid interpolation algorithm based on 2-D bisection. We describe the algorithm implementation and the tests that have been made to verify its performance. The jitter estimation has a mean error of 1 25 pixel of the correlation tracking camera. The paraboloid interpolation algorithm provides also better results in terms of resources and time required for the calculation (at least a 20% improvement in both cases) than those based on direct calculation.

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Section: Subpixel Paraboloid Interpolation Algorithmmentioning

confidence: 99%

“…For this reason, an image stabilization system (ISS) is added [6][7][8][9] to damp this jitter. Hinode has been the first reported mission to use a correlator, 10 being SO/PHI the second mission using correlator base stabilization, although with technological differences.…”

Section: Introductionmentioning

confidence: 99%

Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

Roma

Carmona²,

Bosch³

et al. 2019

J. Astron. Telesc. Instrum. Syst.

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show abstract

“…Its image quality may be affected by various factors, such as mechanical distortions, thermal distortions, and vibrations of the satellite platform. To solve the problem of its performance degradations, regular periodical measuring of the wave-front distortions of the camera and real time detection of the optical axis jitters are desirable [1][2][3][4][5] . The data obtained can be used for the in-orbit adjustment of the camera or the off-line image restoration.…”

Section: Introductionmentioning

confidence: 99%

An integrated method of measuring wave-front aberrations and optical axis jitters of space camera

Wang

et al. 2014

SPIE Proceedings

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The image quality of a high resolution space camera may be degraded by wavefront aberrations and optical axis jitters. It is desirable to use an in-orbit instrument to measure these errors and then correct them with on-line adaptive optical technologies or off-line image restoration algorithms. An integrated method of measuring wavefront aberrations and optical axis jitters of the space camera based on the ground scene Shack-Hartmann wavefront sensor is studied. When working in jitter-sensing mode, only parts of the sub-images are read to enhance the frame rate. Factors affect the precision are analyzed. Experiments are made which show that this method has a good performance by choosing proper parameters.

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“…와 휴대폰 내장 카메라 [3], 광학 망원경 [4,5] 등에 사용되었고, 각각의 시스템에 적절한 제어기를 사용해서 시뮬레이션 결 과와 실험 결과를 보여주었다. 또한 IS 기술에는 빛 번짐 현 상을 소프트웨어를 사용하여 이미지를 처리하는 방법과 이 미지 센서를 이동시켜서 보정하는 방법 [7] …”

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Control for Optical Image Stabilization System in Digital Cameras

Cho¹,

Cho²,

Park³

et al. 2010

Journal of Institute of Control, Robotics and Systems

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As high quality image is required for digital cameras in recent use, the image stabilization technique has drawn much attention to prevent image degradation from shaky disturbance by users. In this paper, the optical image stabilization (OIS) system for DSLR (Digital Single Lens Reflex) camera is considered. First, the analytic model of an OIS system is presented to demonstrate the mechanism of image destabilization due to unknown disturbance that causes blurry images on CCD sensor. Then, to enhance the stabilization performance, a sliding mode control based on the min-max nonlinear control is introduced. Through the experiments and simulations, the effectiveness of the proposed method will be verified.

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Image stabilization system on SOLAR-B Solar Optical Telescope

Cited by 5 publications

References 1 publication

Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

An integrated method of measuring wave-front aberrations and optical axis jitters of space camera

Control for Optical Image Stabilization System in Digital Cameras

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