• DocumentCode
    1191790
  • Title

    A 100 dB Dynamic-Range CMOS Vision Sensor With Programmable Image Processing and Global Feature Extraction

  • Author

    Massari, Nicola ; Gottardi, Massimo

  • Author_Institution
    Centro per la Ricerca Sci. e Tecnol., Trento, Italy
  • Volume
    42
  • Issue
    3
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    647
  • Lastpage
    657
  • Abstract
    A 128 times 64 pixel programmable vision sensor performs real-time analog image processing over high dynamic range images is reported. The pixel-parallel single instruction multiple data (SIMD) architecture executes real-time spatio-temporal filtering with 2.8 GOPS/mm2 and large flexibility in coefficient assignment. The sensor uses time-based and pulse-based operating modalities to execute spatio-temporal filtering on images with dynamic range up to about 100 dB. The in-pixel processing is based on two operations: the absolute value of voltage difference and accumulation of partial results. Feature extraction from the entire image is also possible without the need for image dispatching, thus optimizing both processing speed and video bandwidth. The 32.6 mum square pixel, with a fill-factor of 24%, consists of two analog memories and 28 transistors. The sensor, fabricated in 0.35 mum CMOS technology, gives a fixed pattern noise (FPN) of 0.8% and power consumption of 14 mW at 3.3 V.
  • Keywords
    CMOS image sensors; feature extraction; image processing equipment; parallel processing; 14 mW; 3.3 V; CMOS vision sensor; SIMD architecture; active pixel sensors; analog processing circuits; global feature extraction; in-pixel processing; parallel image processing; programmable image processing; programmable vision sensor; real-time spatio-temporal filtering; single instruction multiple data; CMOS image sensors; CMOS process; CMOS technology; Dynamic range; Feature extraction; Filtering; Image processing; Image sensors; Pixel; Voltage; Active pixel sensors; CMOS vision sensors; analog processing circuits; parallel image processing;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2006.891454
  • Filename
    4114756