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The Environmental Study of Response to Phenology of 15 Kinds of Hybrid Maize Varieties during Reproductive Growth Stage to Extreme Drought and Rewatering 期刊论文  OAI收割
EKOLOJI, 2018, 卷号: 27, 期号: 106, 页码: 1589-1595
作者:  
Chen, Hua;  Chen, Jianfeng;  Yin, Mei;  Fu, Libo;  Li, Zaifeng
  |  收藏  |  浏览/下载:26/0  |  提交时间:2020/12/24
Effects of grazing on ecosystem structure and function of alpine grasslands in Qinghai-Tibetan Plateau: a synthesis 期刊论文  OAI收割
ECOSPHERE, 2017, 卷号: 8, 期号: 1, 页码: e01656
作者:  
Lu, Xuyang;  Kelsey, Kathy C.;  Yan, Yan;  Sun, Jian;  Wang, Xiaodan
收藏  |  浏览/下载:70/0  |  提交时间:2017/03/31
Astronomical image restoration through atmosphere turbulence by lucky imaging (EI CONFERENCE) 会议论文  OAI收割
3rd International Conference on Digital Image Processing, ICDIP 2011, April 15, 2011 - April 17, 2011, Chengdu, China
作者:  
Zhao J.;  Wang J.;  Zhang S.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
In this paper  we develop a lucky imaging system to restore astronomical images through atmosphere turbulence. Our system takes very short exposures  on the order of the atmospheric coherence time. The rapidly changing turbulence leads to a very variable point spread function (PSF)  and the variability of the PSF leads to some frames having better quality than the rest. Only the best frames are selected  aligned and co-added to give a final image with much improved angular resolution. Our system mainly consists of five parts: preprocessing  frame selection  image registration  image reconstruction  and image enhancement. Our lucky imaging system has been successfully applied to restore the astronomical images taken by a 1.23m telescope. We have got clear images of moon surface and Jupiter  and our system can be demonstrated to greatly improve the imaging resolution through atmospheric turbulence. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Phase error estimation with broadband white light by Phase Diversity (EI CONFERENCE) 会议论文  OAI收割
6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China
作者:  
Wang Z.;  Wang B.;  Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
The technique of Phase Diversity (PD) is widely adopted to measure the wavefront error caused by atmosphere turbulence and system error. PD solves the Zernike coefficients of the wavefront by utilizing two images obtained with different defocus value. In this paper  we propose a method to restore the image and estimate the wavefront error of an imaging system. And we use present white noises to verify the robustness of the algorithm. We design an experiment system and implement it in our laboratory. The proposed algorithm is validated by computer simulations and experimental results. To use a broadband white object in experimental system a reasonable simplification for the system model is done. Our results show that the robustness against Gaussian white noises of the method is better then the case when the variance value is 0.03. The proposed method can be used as a wavefront sensor and restore the degradative images by photoelectric image system. 2010 SPIE.  
Real-time restoration for motion-blurred color images by multichannel combination processing (EI CONFERENCE) 会议论文  OAI收割
1st International Workshop on Education Technology and Computer Science, ETCS 2009, March 7, 2009 - March 8, 2009, Wuhan, Hubei, China
作者:  
Sun H.;  Sun H.;  Li S.
收藏  |  浏览/下载:46/0  |  提交时间:2013/03/25
A fast algorithm is proposed to restore the color images  degraded in a deterministic way by motion- blurred  by multichannel combination processing. Based on the color space conversion model  the point spread functions of the image motion on each plane of YUV422 image can be achieved. The U  V plane of YUV422 images are combined to form a new UV plane which has the same size as Y plane. Then  the Y  UV plane are packed into a two dimensional complex array which can be transformed directly by FFT and result a composite frequency spectrum. Wiener filter is applied to filter Y  UV spectrums separated from the composite spectra. On Graphics Processing Unit (GPU) platform  the proposed algorithm can restore a 1024x1024 24-bit motion-blurred color image in 7.95ms  and the PSNR of the restored image is 27.12 which reveals a good restoration performance. 2009 IEEE.  
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.