• DocumentCode
    2474653
  • Title

    Frame Based Adaptation for CMOS Imager

  • Author

    Climie, Dave ; Chen, Shoushun ; Bermak, Amine ; Martinez, Dominique

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong UST
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the fast boundary adaptation rule (FBAR). The adaptive quantization algorithm is integrated together with a 128times128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture
  • Keywords
    CMOS image sensors; VLSI; array signal processing; quantisation (signal); CMOS image sensor array; FBAR; VLSI architecture; fast boundary adaptation rule; frame-based adaptive quantization technique; time-to-first spike encoding scheme; Adaptive arrays; Biological information theory; CMOS image sensors; Circuits; Encoding; Film bulk acoustic resonators; Pixel; Quantization; Sensor arrays; Very large scale integration; Adaptive Quantization; PWM CMOS Image Sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2005 Fifth International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    0-7803-9283-3
  • Type

    conf

  • DOI
    10.1109/ICICS.2005.1689055
  • Filename
    1689055