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	Midfrequency-based real-time blind image restoration via independent component analysis and genetic algorithms 期刊论文 OAI收割 OPTICAL ENGINEERING, 2011, 卷号: 50, 期号: 4 作者: Luo, Yihan; Fu, Chengyu 收藏 \| 浏览/下载：34/0 \| 提交时间：2015/09/21 blind image restoration image deblurring real time Levy density functions point spread functions Wiener filtering independent component analysis
	Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文 OAI收割 2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China 作者: Yang L.; Zhang X.; Zhang X.; Zhang X.; Yang L. 收藏 \| 浏览/下载：44/0 \| 提交时间：2013/03/25 In the imaging process of the space remote sensing camera there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation the remote sensing images were restored to give prominence to the characteristic objects in the images. First the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images the point spread function of the imaging system was estimated. In order to improve the accuracy the estimated point spread function was corrected with Gaussian fitting method. Finally the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored its variance and its gray mean gradient increased also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration the blur phenomenon of the images is reduced. The characters are highlighted and the visual effect of the images is clearer. 2011 IEEE.
	Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China 作者: Yang L.; Yang L. 收藏 \| 浏览/下载：32/0 \| 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 OAI收割 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：23/0 \| 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.
	Nonlinear filtering of semi-Dirichlet processes 期刊论文 OAI收割 STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2009, 卷号: 119, 期号: 11, 页码: 3890-3913 作者: Hu, Ze-Chun; Ma, Zhi-Ming; Sun, Wei \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2018/07/30 Nonlinear filtering Semi-Dirichlet forms Filtering equations Uniqueness of solutions Wiener chaos expansions Density equations
	CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang J.-L.; Wang J.-L.; Li D.-Y.; Wang Y.-P. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 In the procedure of computed radiography imaging we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail the author think that the major two noises are Gaussian white noise and Poisson noise. Then the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images a multiscale image filtering algorithm which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM according to scale size and achieve the experiments as well as the comparison with other denoising methods were presented at last.
	Restoration of moving blurred image based on TMS320C6416 (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu W. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 To absolve image blur caused by camera's high speed fixed-point DSP TMS320C6416 and wiener filtering algorithm are adopted to stabilize image. On the premise that cameras have uniform motion restoration model for moving blurred image was researched the principle of Wiener filtering is explained the key technologies of moving blurred image restoration with TMS320C6416 are introduced: how to complete FFT calculation of 32bit and how to exert DMA function of DSP to enhance processing speed ring effect and ghost effect in restored image are explained and how the parameter of wiener filter affects ring effect and ghost effect is discussed in addition to this other reasons of ring effect and ghost effect are analyzed detailed. Experiments shows that One TMS320C6416 chip can restore seven frames per second there is great hope to realize real-time restoration if adopting multi-DSP or the FFT completion by hardware.
	Realization of electron image stabilization based on TMS320C6416 (EI CONFERENCE) 会议论文 OAI收割 Proceedings of the Sixth IEEE CPMT Conference on High Density Microsystem Design and Packaging and Component Failure Analysis, HDP'04, June 30, 2004 - July 3, 2004, Shanghai, China 作者: Yao Z.-J.; Liu W. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 To absolve image blur of high speed camera ringing effect and edge effect are analyzed fixed-point DSP TMS320C6416 and wiener filtering algorithm are adopted. Degeneration model for moving blur is researched the principle of Wiener filtering is explained: how complete FFT of 32bit and how to exert DMA function of DSP to enhance processing speed and the test results are presented. 2004 IEEE.