期刊文献+

基于暗电流CMOS图像传感器固定模式噪声校正研究 被引量:8

Fixed pattern noise correction of CMOS image sensor based on dark current
下载PDF
导出
摘要 为了抑制由读出放大电路增益不一致导致的CMOS传感器固定模式噪声(FPN),提高成像质量,本文提出了基于暗电流的固定模式噪声校正方法。该方法相比于传统校正方法具有校正系统简单,算法易于实现的优点。本文对校正前后的图像通过灰度方差进行评估,评估结果表明由暗电流形成的本底图像,图像灰度方差校正后相比于校正前,降低1~2个数量级;均匀光照条件下的CMOS图像,校正后相比于校正前,图像灰度方差增大2个数量级。该评估结果及相关结论对暗电流本底图像及相关校正方法探讨具有一定的借鉴意义。 In order to restrain the effect of CMOS image sensor fixed pattern noise(FPN)caused by the gain mismatch of readout amplifier circuit,to improve the quality of imaging,a method of fixed pattern noise correction based on the dark current is proposed in this paper.Compared with the traditional correction methods,this method has simple correction system,and the algorithm is easy to be implemented.The images before and after correction were evaluated via the grayscale variance,and the evaluation results show that in the background image formed by dark current,the grayscale variance of after corrected image reduced by 4 orders of magnitude compared with that before correction.As for the CMOS image under uniform illumination condition,the grayscale variance of after corrected image increased by 2 orders of magnitude compared with that before correction.The evaluation results and related conclusions are useful for the future study of dark current background images and correlation correction methods.
作者 李强 金龙旭 李国宁 LI Qiang;JIN Long-xu;LI Guo-ning(Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China)
出处 《液晶与显示》 CAS CSCD 北大核心 2021年第2期327-333,共7页 Chinese Journal of Liquid Crystals and Displays
基金 国家重点研发计划(No.2017YFB0404800)。
关键词 暗电流 CMOS图像传感器 本底图像 固定模式噪声 dark current CMOS image sensor background image fixed pattern noise
  • 相关文献

参考文献4

二级参考文献24

  • 1孟祥提,康爱国,黄强.γ射线辐照对数字型彩色CMOS图像传感器输出特性的影响[J].原子能科学技术,2004,38(z1):231-235. 被引量:10
  • 2李庆,刘上乾,王炳健,赖睿.基于神经网络的IRFPA非均匀性校正新算法[J].红外与激光工程,2007,36(3):342-344. 被引量:11
  • 3陈洪钧,周航宇.InGaAs可见/短波红外焦平面探测器新进展[J].红外与激光工程,2007,36(4):431-434. 被引量:13
  • 4Tones Sergio N, Hayat Majeed M. Kalman filtering for adaptive nonuniformity correction in infrared focal-plane arrays[J]. Optical Society of America, 2003, 20(3): 470- 480.
  • 5Snyder D L, Angelisanti D, Smith W H, et al. Correction for nonuniformity flat-filed response in focal plane arrays [C]//SPIE, 1996, 2827: 60-67.
  • 6Ratliff Bradley M, Hayat Majeed M, Scott Tyo J. Generalized algebraic scene-based nonuniformity [J]. Optical Society of America, 2005, 22(2): 239-249.
  • 7Torres Sergio N, Vera Esteban M, Reeves Rodrigo A, et al. Adaptive scene-based non-uniformity correction method for infrared-focal plane arrays[C]//SPIE, 2003, 5076: 130-139.
  • 8Mendis S K, Kemeny S E, Gee R C, et al. CMOS active pixel image sensors for highly integrated imaging systems[J]. IEEE J Solid State Circuits, 1997, 32: 187-197.
  • 9Zarnowski T, Vogelsong T, Zarnowski J. Inexpensive image sensors challenge CCD supremacy[J]. Photon Spectra, 2000,34: 88-192.
  • 10Xu Jianming, Buon Nguyen. CMOS image sensor based X- Ray detector noise characterization and its fixed pattern noise correction method [C]//Medical Imaging 2011: Physics of Medical Imaging, 2011, 7961.

共引文献42

同被引文献52

引证文献8

二级引证文献12

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