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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 发表日期：2010    内容类型：会议论文    专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Mechanism of STED microscopy and analysis of the factors affecting resolution (EI CONFERENCE) 会议论文 6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China Yang P.; Ai H. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 Stimulated emission depletion (STED) microscopy exploits nonlinear saturable optical transition of fluorescent molecules  allowed to overcome Abbe's diffraction-limit and provides diffraction-unlimited resolution in far-field optical microscopy. We elaborate the mechanism of STED and the conditions of depletion. The formula of STED microcopy resolution is deduced through effective point spread function (E-PSF). The STED system resolution is mainly dominated by the quality of the fluorescence depletion patterns in the focal plane. The depletion pattern is mainly affected by STED beam intensity  polarization  phase plate  primary aberrations  STED pulse shape  pulse duration and delay time. In this paper  we found related models and simulate the relationship between the depletion patterns and the parameters  and put forward effective approach to enhance the system resolution. 2010 SPIE.   Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China Yang L.; Ren J. 收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25 In order to reduce image blur caused by the degradation phenomenon in the imaging process  the acquired images of the space remote sensing camera are restored. First  the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function  which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation  the estimated PSF is adjusted with Gaussian fitting. Finally  the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration  the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting  the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration  the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.   The study of mapping relation of aeroplane complex motion and image movement and compensation technique (EI CONFERENCE) 会议论文 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion  attitude changes  and the relative motion of the camera and aircraft firstly  we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values  the geometrical relationship between the camera and the aircraft is acquired  then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that  making use of geometrical relationship  we can calculate the displacement variation of pixels within the camera exposure time. Thereafter  taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging  then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time  and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window  the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.