• DocumentCode
    1725143
  • Title

    Analysis and optimization of noise response for low-noise CMOS image sensors

  • Author

    Martin-Gonthier, P. ; Molina, R. ; Cervantes, P. ; Magnan, P.

  • Author_Institution
    ISAE, Univ. de Toulouse, Toulouse, France
  • fYear
    2012
  • Firstpage
    513
  • Lastpage
    516
  • Abstract
    CMOS image sensors are nowadays widely used in imaging applications and particularly in low light flux applications. This is really possible thanks to a reduction of noise obtained, among others, by the use of pinned photodiode associated with a Correlated Double Sampling readout. It reveals new noise sources which become the major contributors. This paper presents noise measurements on low-noise CMOS image sensor. Image sensor noise is analyzed and optimization is done in order to reach an input referred noise of 1 electron rms by column gain amplifier insertion and dark current noise optimization. Pixel array noise histograms are analyzed to determine noise impact of dark current and column gain amplifier insertion. Transfer noise impact, due to the use of pinned photodiode (4T photodiode), is also measured and analyzed by a specific readout sequence.
  • Keywords
    CMOS image sensors; amplifiers; digital readout; image denoising; image processing equipment; noise measurement; optimisation; photodiodes; sensor arrays; CMOS image sensor; column gain amplifier insertion; correlated double sampling readout; dark current noise optimization; imaging application; low light flux; noise measurement; noise response optimization; noise source; pinned photodiode; pixel array noise histogram; transfer noise impact; CMOS image sensors; Dark current; Logic gates; Noise; Optimization; Photodiodes; CMOS Image sensors; Column gain amplifier; dark current noise; low-light flux; pinned photodiode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2012 IEEE 10th International
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4673-0857-1
  • Electronic_ISBN
    978-1-4673-0858-8
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2012.6329069
  • Filename
    6329069