• DocumentCode
    1572780
  • Title

    A low-power encoder architecture for pyramid vector quantization of 2D subband coefficients

  • Author

    Namgoong, Won ; Devenport, Mark ; Meng, Teresa

  • Author_Institution
    Comput. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    1995
  • Firstpage
    391
  • Lastpage
    400
  • Abstract
    This paper describes a VLSI architecture designed to pyramid vector quantize (PVQ) 2-D subband image for low-power portable applications. Using the 0.8 μ CMOS process, the chip is estimated to dissipate less than 300 μW at a 1.5 V supply, encoding at 1.27 Mpixels/sec, for display of 240 pixels wide, 176 lines, and 30 frames per second, while introducing no noticeable degradation in the decompressed video quality. Low power consumption is achieved through efficient algorithm-to-hardware mapping requiring no multipliers, dividers, or external memory accesses, innovative computational methods, and reduction in supply voltage
  • Keywords
    CMOS digital integrated circuits; VLSI; image coding; vector quantisation; 0.8 micron; 1.5 V; 240 pixel; 2D subband coefficients; 2D subband image; 300 muW; CMOS process; VLSI architecture; algorithm-to-hardware mapping; decompressed video quality; low-power encoder architecture; low-power portable applications; pyramid vector quantization; Application software; Computer architecture; Energy consumption; Entropy; Image coding; Laboratories; Portable computers; Rate-distortion; Vector quantization; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Signal Processing, VIII, 1995. IEEE Signal Processing Society [Workshop on]
  • Conference_Location
    Sakai
  • Print_ISBN
    0-7803-2612-1
  • Type

    conf

  • DOI
    10.1109/VLSISP.1995.527510
  • Filename
    527510