中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共8条,第1-8条 帮助

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Accurate and Fast Image Denoising via Attention Guided Scaling 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6255-6265
作者:  
Zhang, Yulun;  Li, Kunpeng;  Li, Kai;  Sun G(孙干);  Kong, Yu
  |  收藏  |  浏览/下载:31/0  |  提交时间:2021/08/03
Surface Defects Detection Based on Adaptive Multiscale Image Collection and Convolutional Neural Networks 期刊论文  OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 12, 页码: 4787-4797
作者:  
Sun, Jia;  Wang, Peng;  Luo, Yong-Kang;  Li, Wanyi
  |  收藏  |  浏览/下载:41/0  |  提交时间:2020/03/30
User-curated image collections: Modeling and recommendation 会议论文  OAI收割
3rd IEEE International Conference on Big Data, IEEE Big Data 2015, Santa Clara, CA, United states, October 29-November 1, 2015
作者:  
Li, Yuncheng;  Mei T(梅涛);  Cong Y(丛杨);  Luo JB(罗杰波)
收藏  |  浏览/下载:32/0  |  提交时间:2016/04/30
Investigation and visualization of internal flow through particle aggregates and microbial flocs using particle image velocimetry 期刊论文  OAI收割
JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2013, 卷号: 397, 页码: 163-168
作者:  
Xiao, Feng;  Lam, Kit Ming;  Li, Xiao-yan
收藏  |  浏览/下载:24/0  |  提交时间:2015/12/31
LED display image correction based on computer simulation (EI CONFERENCE) 会议论文  OAI收割
2012 International Applied Mechanics, Mechatronics Automation Symposium, IAMMAS 2012, September 7, 2012 - September 9, 2012, Shenyang, Liaoning, China
Zheng X.-F.; Chang F.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
For the purposes of correcting the LED display image  a method based on computer simulation is proposed. First  the development of the LED display panel is introduced. Second  analyze the causes of the problem which image in LED display panel has serious high nonuniformity  and introduce the existed correction techniques which are used to reduce the nonuniformity of LED display image. Simultaneously  point out the ground for shortcomings of these techniques. Third  describe the principle of correction method based on computer simulation detail from two steps  which are the luminous collection and luminous copulation. Forth  describe the realization steps of this method in accordance with the third step. Finally  this method is supplied in a LED display panel  whose resolution is 640480. Experimental results show that this method is able to reduce the non-uniformity of images from 11.06% to 0.98%. (2012) Trans Tech Publications  Switzerland.  
Design of high speed and parallel compression system used in the big area CCD of high frame frequency (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Precision Engineering and Non-Traditional Machining, PENTM 2011, December 9, 2011 - December 11, 2011, Xi'an, China
作者:  
Li G.-N.;  Jin L.-X.;  Zhang R.-F.;  Wang W.-H.;  Li G.-N.
收藏  |  浏览/下载:52/0  |  提交时间:2013/03/25
According to the area CCD camera of characteristics  such as high resolution capacity and high frame frequency  this paper puts forward a high speed and parallel image compression system of high integration degree. Firstly  according to the work principle of the area CCD  FPGA is adopted to realize the timing driving and multichannel and parallel analog signal handling to raise the export frame frequency of the area CCD. Secondly  with an image compression scheme based on FPGA embedded processor MicroBlaze and ADV212 compression chip  real time image compression and the high speed area CCD are realized. Finally  by detecting the analog signal of the area CCD output  the real time compression of the big area CCD image is carried out in different compression ratios and the compression performance is analyzed. Experiment result shows that this scheme can realize real time image compression with the biggest data rate of 520Mbps. When compression bit ratio is 0.15  the signal-to-noise ratio of peak value can reach 36 dB. Image collection and image compression are integrated  which reduces the data transmission between them and improves systematic integration degree.  
Investigation of the hydrodynamic behavior of diatom aggregates using particle image velocimetry 期刊论文  OAI收割
JOURNAL OF ENVIRONMENTAL SCIENCES-CHINA, 2012, 卷号: 24, 期号: 7, 页码: 1157-1164
作者:  
Xiao, Feng
收藏  |  浏览/下载:27/0  |  提交时间:2014/11/04
Level 0 and level 1 data processing for a type of hyper-spectral imager (EI CONFERENCE) 会议论文  OAI收割
2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 21, 2009, Shanghai, China
Li X.; Yan C.
收藏  |  浏览/下载:74/0  |  提交时间:2013/03/25
Hyper-spectral imaging (HSI) is a kind of optical remote sensor that can simultaneously obtain spatial and spectral information of ground targets. We are now designing a data processing system for a type of space-borne push-broom HSI  then it performs radiometric and spectral calibration based on the ground calibration results and onboard calibration collection. The detailed algorithms for bad pixel replacement  which has 128 spectral channels covering the spectral range from 400nm to 2500nm. With its large amount of spectral channels  radiometric and spectral calibration were presented. After processing  the HSI collects large volume of spectral imaging data need to be efficiently and accurately processed and calibrated. In this paper  the digital numbers downlinked from the spacecraft can be converted into at-sensor absolute spectral radiance of ground targets  the detailed Level 0 and Level 1 data processing steps for the HSI were presented. The Level 0 processing refers to a set of tasks performed on the data downlinked from the spacecraft  thus providing accurate quantified spectral imaging data for various applications. 2009 SPIE.  including decoding to extract science data  separating the science data into files corresponding to different tasks (e.g. ground imaging  dark imaging  and onboard calibration)  checking data integrity and instrument settings  data format conversion  and Level 0 files creation. The Level 1 processing performs several steps on Level 0 data. Firstly  it corrects the image artifacts (mostly the SWIR smear effect)  subtracts the dark background  and performs the bad pixel replacement according to the prelaunch measurement