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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
数学与系统科学研究院 [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [2]
期刊论文 [1]
发表日期
2009 [2]
2004 [1]
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Micro-motion exposure method based on PZT piezoelectric ceramics (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Material and Device Technology for Sensors, June 17, 2009 - June 19, 2009, Beijing, China
作者:
Meng Z.
;
Meng Z.
收藏
  |  
浏览/下载:103/0
  |  
提交时间:2013/03/25
There mainly is laser digital photofinishing technique and digital photofinishing technique based on LCD consisting of TFT and LCOS in the digital photofinishing field at the present time. The former have a good many merit such as wide color gamut
high processing rate
large output size and high brightness
but his cost is very high
his maintain technique being comparatively complex
that result in difficult use for people. The utilization ratio of the latter is low because of lower resolution and lower aperture ratio for LCD
but the digital photofinishing based on LCD have lower cost and higher utilization ration
being suitable for people's current standard of living. Considering above mentioned problem
a micro-motion exposure method based on PZT piezoelectric ceramics used in digital image photofinishing is presented. The two-dimension micro-motion exposure system consisting of PZT piezoelectric ceramics
LCD panel
polarizing film and spring strip is designed. By means of PZT piezoelectric ceramics the LCD panel is removed about the one half of the pixel size of the LCD panel for four times from the original place
at the same time imaging system is exposed four times at the printing paper. The software is used to control the time synchronization
the exposure time and motion range of the LCD panel. The system has advantages such as shorter response time than 0.1seconds
lesser motion error than 0.01 microns
high stability and repeatability. Experimental results show that the proposed micro-motion exposure method improve the picture brightness and enlarge output size
at the meantime reducing the cost of the system. 2009 SPIE.
Contrast research on interpolation and subpixel imaging in CCD geometric superresolution reconstruction (EI CONFERENCE)
会议论文
OAI收割
1st Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, PrimeAsia 2009, November 19, 2009 - November 21, 2009, Shanghai, China
作者:
Xu Y.-S.
;
Yang S.-W.
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  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
In order to enhance the resolution of Charge Coupled Device (CCD) pixel with the pixel dimension and focal length of optical system unchanged
the problem of CCD geometric superresolution is educed. The problem is discussed in terms of software and hardware. In software
the bicubic interpolation is introduced
while in hardware
the subpixel imaging method is utilized. The subpixel imaging method integrates two uniform linear CCDs staggered by half dimension of pixel in one device. In operation
the line frequency is doubled. At last
the collected data is interweaved to synthesize a high resolution image. The two methods
bicubic interpolation and subpixel imaging
are simulated with Matlab7.0.1. The qualitative and quantitative analyses are given. The simulated results of lanczos and cubic spline interpolation methods are given simultaneously to show the performance of interpolation. The simulation result shows that the result images quality becomes better in both methods
but compared with bicubic interpolation method
the synthesized image PSNR gained from sub-pixel imaging is averagely enhanced by 2.1682dB
while the elapsed time is reduced to be about one forth. The subpixel imaging method could significantly mitigate the image blur introduced by undersample. 2009 IEEE.
Parallel computing method of valuing for multi-asset European option
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2004, 卷号: 3, 期号: 4, 页码: 575-581
作者:
Zheng, WM
;
Shu, JW
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/07/30
multi-asset European
parallel computing
option valuing
Monte-Carlo method
high dimension problem