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Super resolution optical image restoration for ground-based large telescope 会议论文
8th Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2013, October 26, 2013 - October 27, 2013, Wuhan, China
Zhang S.
收藏  |  浏览/下载:15/0  |  提交时间:2014/05/15
The movement estimation of target and background by fourier phase spectrum difference (EI CONFERENCE) 会议论文
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
Wu Y.; Zhang S.; Wang J.; Jia J.; Yu Q.; Zhang X.
收藏  |  浏览/下载:11/0  |  提交时间:2013/03/25
Chirp estimation of PZT for integrating-bucket method (EI CONFERENCE) 会议论文
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China
Zhang J.; Shi Z.; Miao E.; Gu Y.; Liu W.
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/25
The nonlinear response of the PZT for the integrating bucket method is studied by our proposed method: discrete chirp Fourier transform (DCFT) and maximum likelihood estimation (MLE) techniques for the integrating bucket method. Based on the signal processing theory  the intensity obtained from CCD is processed by the DCFT and thus nonlinear response and chirp coefficient of the PZT can be coarsely estimated. This is followed by the MLE method  in which an iterative optimization process is complemented for accurately estimating the nonlinear response and chirp coefficient of the PZT. One key advantage of the proposed method is that not only the nonlinear response and chirp coefficient of the PZT can be acquired  but also initial phase acquired. Our method is tested by simulating conditions under which a certain magnitude of nonlinearity is assumed. Nonlinear response attained by the DCFT is compared to that attained by the MLE  and a difference between the actual nonlinear response of the PZT and our accurate estimation by the proposed method is revealed. Several factors that will have influence on the nonlinear response of the PZT are discussed. 2010 Copyright SPIE - The International Society for Optical Engineering.  
The Movement Estimation of Target and Background by Fourier Phase Spectrum Difference 会议论文
2010
Wu Y. H.; Zhang S. X.; Wang J. L.; Jia J. L.; Yu Q. Y.; Zhang X. G.; Ieee
收藏  |  浏览/下载:1/0  |  提交时间:2013/03/28
Micro assembled fourier transform spectrometer (EI CONFERENCE) 会议论文
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Kong Y.-M.; Liang J.-Q.; Liang Z.-Z.; Wang B.; Zhang J.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
With the trend of minimization of Fourier transform spectrometer (FTS) which is particularly pronounced in many applications  a model of a micro FTS with no moving parts is proposed and analyzed. During analyzng  the gradients which mainly introduce phase error are accounted. Based on these assumptions and the improved Mertz phase correcting method  the spectrum of signal is simulated with real extended light source. The resolution can be up to 3.43nm@800nm  with high signal-to-noise ratio (SNR) limiting resolving ability 6.8dB. In addition  the fabrication method of components are illuminated and demonstrated  which can not only make it bear some advantages over conventional micro dispersive spectrometers  but also afford some new concepts on the design of spectrometers with improved performance. 2009 SPIE.  
Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Wu Y.-H.; Yu Q.-Y.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform  the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration  the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1  2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak  and it reduces processing time. Since the technique proposed uses all the image information  including all the white noise in the image especially  and it's hard to overcome the aliasing from noises  but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented  and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.  
Displacement estimation by the phase-shifting of Fourier transform in present white noise - art. no. 60271Q 会议论文
2006
Wu Y. H.; Yu Q. Y.
收藏  |  浏览/下载:9/0  |  提交时间:2013/03/28


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