中国科学院机构知识库网格系统: 检索

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	High-frame frequency imaging system of large area CMOS image sensor 期刊论文 OAI收割 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 5, 页码: 1167-1177 作者: Y.-H.Ning; H.Liu; Q.-L.Zhao; H.-Z.Guo \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/08/24 CMOS integrated circuits,Digital cameras,Dynamic random access storage,Image enhancement,Image sensors,Imaging systems,Median filters,Personnel training,Pixels,Signal to noise ratio,Specifications
	Programming Cells for Dynamic Assembly of Inorganic Nano-Objects with Spatiotemporal Control 期刊论文 OAI收割 ADVANCED MATERIALS, 2018, 卷号: 30, 期号: 16 作者: Wang, Xinyu; Pu, Jiahua; An, Bolin; Li, Yingfeng; Shang, Yuequn \| 收藏 \| 浏览/下载：64/0 \| 提交时间：2018/12/28 bacterial biofilms curli nanofibers dynamic self-assembly functional amyloids light-induced gene circuits
	Study on the key technologies of a high-speed CMOS camera 期刊论文 OAI收割 optik, 2017, 卷号: 129, 页码: 100-107 作者: Jiang, Baotan; Pan, Zhibin; Qiu, Yuehong 收藏 \| 浏览/下载：49/0 \| 提交时间：2016/11/14 Alignment Cameras CMOS integrated circuits Dynamic random access storage Field programmable gate arrays (FPGA) Image sensors Reconfigurable hardware Remote sensing Speed
	高性能数字信号处理器中动态电路设计的关键技术研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2015 作者: 林玻收藏 \| 浏览/下载：86/0 \| 提交时间：2015/09/02 动态电路多米诺逻辑高性能处理器建库单边化电路综合逻辑单元库推泡法 domino logic dynamic circuits Algebraic processor high performance design flow cell library synthesis bubble pushing
	Design of driving circuit for binocular CCD image system (EI CONFERENCE) 会议论文 OAI收割 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China 作者: Zhang X.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：42/0 \| 提交时间：2013/03/25 The paper designs a driving circuit of high sensitive wide dynamic and high signal-to-noise ratio for binocular CCD imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Inner structure and driving timing of the FTF5066M sensor are presented. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the two sensors. By using the Correlated Double Sampling (CDS) technique the video noise is reduced and the SNR of the system is increased. A 12- bit A/D converter is used to improve the image quality. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel. For its good performance low power consumption and small volume the driving system can be applied to aeronautics and astronautics field. With a further improvement a maximum data output rate of 2.7 frames per second can be reached through all the eight channels of the two CCDs. 2010 Copyright SPIE - The International Society for Optical Engineering.
	Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文 OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China Zhang M.; Ren J. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 The paper designs a driving circuit of high sensitive wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.