• DocumentCode
    1678655
  • Title

    A CMOS Image Sensor with combined adaptive-quantization and QTD-based on-chip compression processor

  • Author

    Shoushun, Chen ; Bermak, Amine ; Yan, Wang ; Martinez, Dominique

  • Author_Institution
    Dept. of EEE, Hong Kong Univ. of Sci. & Technol.
  • fYear
    2006
  • Firstpage
    329
  • Lastpage
    332
  • Abstract
    In this paper, a CMOS image sensor with on-chip compression processor is proposed. An adaptive quantization scheme based on boundary adaptation procedure followed by an on-line quadrant tree decomposition processing is proposed enabling low power, robust and compact image compression processor. The image sensor chip has been implemented using 0.35 mu CMOS technology and operates at 3.3 V. Simulation and experimental results show compression figures corresponding to 0.6-0.8 BPP, while maintaining reasonable PSNR levels and very low operating power consumption
  • Keywords
    CMOS image sensors; coprocessors; data compression; image coding; quadtrees; quantisation (signal); 0.35 micron; 3.3 V; CMOS image sensor; CMOS technology; adaptive quantization; boundary adaptation procedure; image compression processor; on-chip compression processor; online quadrant tree decomposition processing; CMOS image sensors; CMOS technology; Image coding; Image sensors; PSNR; Pixel; Quantization; Robustness; Sensor arrays; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference, 2006. CICC '06. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    1-4244-0075-9
  • Electronic_ISBN
    1-4244-0076-7
  • Type

    conf

  • DOI
    10.1109/CICC.2006.320903
  • Filename
    4114971