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15 October 2012 Research of image denoising based on high precision of star sensors
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Abstract
Image denoising is the process of getting the location coordinates of the star point. The extent of denoising determines the measurement accuracy of star sensor attitude. As the star sensor accuracy increasing, the need for star chart-depth study of the noise reduction process, thus reducing the false rate of the target extraction. Noise sources are: Star background noise, molecular noise, electronic noise, etc. In order to reduce the noise, analyze noise source and characteristicness; compare three Laplacian noise reduction effect; and put forward the associative templates. The results show that Laplacian typically is unacceptably sensitive to noise, will produce double edges, and is unable to detect edge direction; LOG has a voluminous convolving mask so that the computation is complex; The improved mask has good edge detection and high antinoise performance.
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Zhen-zhen Li, Rui-xian Li, and Hong-gang Wei "Research of image denoising based on high precision of star sensors", Proc. SPIE 8418, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Design, Manufacturing, and Testing of Smart Structures, Micro- and Nano-Optical Devices, and Systems, 84180S (15 October 2012); https://doi.org/10.1117/12.970628
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