期刊文献+

可应用于CMOS彩色图像传感器的两层垂直层叠结构及其色彩特性的研究 被引量:1

Vertically Integrated Diode for CMOS Color Image Sensor and Its Colorimetric Characterization
原文传递
导出
摘要 基于两层垂直层叠结构的色彩传感器可同时对偏蓝波段和偏红波段进行感应, 配合绿/品红滤波片, 为彩色成像提供了可能, 由于它完全兼容于标准CMOS工艺, 可以作为一种新型的CMOS彩色图像传感器像素的感光功能器件。通过垂直层叠结构, 配合两色滤波片, 抽取不同深度的光生载流子, 即可以得到相应波段的成像信息。通过仿真和实验得到了它的各通道响应曲线, 提出了一种增强对了声稳健性的多个多项式回归的方法并得到色彩转换矩阵, 把传感器的4通道响应转换为CIE XYZ三刺激值。同时在CIE L*A*B*空间中对器件传感得到的色彩和原始的色彩坐标进行了比对, 对器件的色彩准确度进行了一个量化评估。结果表明在应用新转换方法, 色彩误差大大优于常用的简单线性转换, 其色彩效果甚至优于商用Bayer滤光片式彩色CCD。 The vertically integrated diode can sense blue and red illumination simultaneously, and can provide full color information with green/magenta filter on it. It can also be used in the CMOS image senor for its fully compatibility with standard CMOS process. Through extraction of photogenerated carriers at different depths by vertically integrated diode with two color filters, the full color image is got. Through simulation and experiment, each channals response curve is got, an enhanced sound-robust method with multi-polynomial regression is proposed, and the color space transform matrix is obtained. The sensors four-channel response is converted to CIE XYZ three-stimulus-values. In the CIE L*A*B* space, comporation between cooridinate and sensed color coordinate is proposed, and the apparatus color accuracy is quantitively evaluated. The result shows that the device colorimetric accuracy is superior to that of a simple linear transformation, even better than commercial colorful CCD with Bayer filter.
出处 《光学学报》 EI CAS CSCD 北大核心 2009年第5期1264-1269,共6页 Acta Optica Sinica
基金 国家自然科学基金(60577047)资助项目
关键词 色彩传感器 彩色成像 CMOS成像传感器 垂直层叠结构 多个多项式回归 color sensor color imaging CMOS image sensor vertically integrated diode multiple polynomial regression
  • 相关文献

参考文献19

  • 1S. Mohajerzadeh, A. Nathan, C.R. Selvakumar. Numerical simulation of a p-n-p-n color sensor for simultaneous color detection[J]. Sensors and Actuators A, 1994, 44:119-124
  • 2David L. Gilblom, Sang Keun Yoo, Peter Ventura. Real-time color imaging with a CMOS sensor having stacked photodiodes[C]. Proc. SPIE, 2004, 5210:105-115
  • 3M. Sedjil, G.N. Lu, M. Ben Chouikha et al.. Modeling of BDJ and BTJ structures for color detection[C]. Proc. SPIE, 1999, 3680:388-397
  • 4G.N. Lu, M. Ben Chouikha, G. Sou et al.. Color detection using a buried double p-n junction structure implemented in the CMOS process[J]. Electron. Lett., 1996, 32(6):594-596
  • 5M. Ben Chouikha, G.N. Lu, M. Sedjil et al.. Color detection using a buried triple p-n junction structure implemented in a BiCMOS process[J]. Electron. Lett., 1998, 34(1):120-122
  • 6D. Knipp, H. Stiebig, H.Wagner. Thin film color sensors in multi-channel technology[C]. Proc. SPIE, 2001, 4306:156-157
  • 7D. Knipp, R.A. Street, H. Stiebig et al.. Vertically integrated thin film color sensor arrays for imaging applications[J]. Optics Express, 2006, 14(8): 3106
  • 8K.M. Findlater, D. Renshaw, J.E.D. Hurwitz et al. A CMOS sensor employing a double junction photodiode[C].2001 IEEE Workshop on Charge-Coupled Devices and Advanced Image Sensors, IEEE Electron Devices Society, 2001, 60
  • 9K.M. Findlater, D. Renshaw, J.E.D. Hurwitz et al.. A CMOS image sensor with a double-junction active pixel[J]. IEEE Transaction on Electron Devices, 2003, 50(1):32-42
  • 10陈远,徐之海,冯华君.基于垂直层叠结构的多光谱彩色传感器研究[J].光谱学与光谱分析,2007,27(5):837-841. 被引量:2

二级参考文献36

  • 1Richard F Lyon,Paul M Hubel.Eyeing the Camera:Into the Next Century.IS&T/SID 10th Color Imaging Conference,Seottsdale,AZ,USA,2002.349.
  • 2David L Gilblom,Sang Keun Yoo,Peter Ventura Proceedings of SPIE,2004,5210:105.
  • 3Mohanmed Ben Chouikha,Francoise Vienov,LU G N.Proceedings of SPIE,1998,3300:198.
  • 4Knipp D,Stiebig H,Wagner H.Proceedings of SPIE,2001,4306:156.
  • 5Knipp D,Street R A,Stiebig H,et al.Optics Express,2006,14(8):3106.
  • 6Michael H Jones,Stephen H Jones.Optical Properties of Silicon.Virginia Semiconductor,Inc.2000.
  • 7Mohajerzadeh S,Nathan A,Selvakumar C R Sensors and Actuators A,1994,44:119.
  • 8Findlater K M,Renshaw D,Hurwitz J E D,et al.IEEE Electron Devices Society,2001,60.
  • 9Hsiung-Kuang Tsai,Si-Chen Lee.Appl.Phys.Lett.,1988,52(4):275.
  • 10Giampero de Cesare,Fernanda Irrera,Francesco Lemmi,et al.IEEE Trans.on Electron Devices,1995,42(5):835.

共引文献1

同被引文献14

  • 1王勇,徐海松.基于多项式回归模型的扫描仪色度特征化[J].光学学报,2007,27(6):1135-1138. 被引量:24
  • 2Kennedy J,Eberhart RC.Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks . 1995
  • 3J. Lundstr?m,A. Verikas.Assessing print quality by machine in offset colour printing[J]. Knowledge-Based Systems . 2013
  • 4Katherine León,Domingo Mery,Franco Pedreschi,Jorge León.Color measurement in L ? a ? b ? units from RGB digital images[J]. Food Research International . 2006 (10)
  • 5S. Bianco,F. Gasparini,A. Russo,R. Schettini.A New Method for RGB to XYZ Transformation Based on Pattern Search Optimization. IEEE Transactions on Consumer Electronics . 2007
  • 6Dos Santos Coelho, Leandro,Herrera, Bruno Meirelles.Fuzzy identification based on a chaotic particle swarm optimization approach applied to a nonlinear Yo-yo motion system. IEEE Transactions on Industrial Electronics . 2007
  • 7Andrieu C,de Freitas N,Doucet A.Robust full Bayesian learning for radial basis networks. Neural Computation . 2001
  • 8杨延西,刘丁,辛菁.基于混沌粒子群优化的图像相关匹配算法研究[J].电子与信息学报,2008,30(3):529-533. 被引量:17
  • 9陈婧,唐万有,王学美.多项式回归法在印刷品质量检测中的研究[J].包装工程,2009,30(11):93-95. 被引量:8
  • 10傅师伟,崔长彩,张认成.数字图像设备色度特征化建模软件研究[J].光电工程,2010,37(3):88-92. 被引量:4

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部