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CAS IR Grid
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长春光学精密机械与物... [4]
成都山地灾害与环境研... [1]
成都生物研究所 [1]
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OAI收割 [6]
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会议论文 [4]
期刊论文 [2]
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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
extreme weather
resistance
restore
phenology
maize
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
alpine meadow
alpine steppe
grassland degradation
grazing intensity
livestock grazing
"retire livestock and restore grassland" (RLRG)
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.