• DocumentCode
    2675323
  • Title

    A circuit for focal-plane image compression using vector quantization

  • Author

    Oliveira, Fernanda D V R ; Haas, Hugo L. ; Gomes, José Gabriel R C ; Petraglia, Antonio

  • Author_Institution
    Electr. Eng. Program, Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2011
  • fDate
    June 30 2011-July 1 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Active pixel sensors are very suitable for the implementation of a large variety of image processing algorithms at the focal plane level. We propose a new focal plane image compression algorithm that is implemented with 607 transistors inside every 4×4 pixel block of a CMOS imager, using conventional 0.35 μm integration technology. We describe the theory of the proposed method, which is based on DPCM of the average block luminance and on VQ of four low-frequency components obtained by a linear transformation applied to the local pixels. We introduce the analog hardware of the pixel block and, to validate our design, present image coding results obtained from electrical Spice simulations of 64 pixel blocks.
  • Keywords
    CMOS image sensors; SPICE; focal planes; image coding; transistor circuits; vector quantisation; CMOS imager; DPCM; Spice simulation; active pixel sensor; analog hardware; average block luminance; circuit; focal plane level; focal-plane image compression; image coding; image processing; integration technology; linear transformation; low-frequency component; pixel block; size 0.35 mum; transistor; vector quantization; CMOS integrated circuits; Decoding; Image coding; Image reconstruction; MATLAB; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
  • Conference_Location
    lasi
  • Print_ISBN
    978-1-61284-944-7
  • Type

    conf

  • DOI
    10.1109/ISSCS.2011.5978689
  • Filename
    5978689