• DocumentCode
    2448952
  • Title

    Design of efficient decompression algorithm in helicopter flight

  • Author

    Yan-shan, Bian ; Ling-da, Wu ; Tian-yu, Qu ; Yi, Zhang

  • Author_Institution
    Acad. of Equip., Beijing, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    198
  • Lastpage
    200
  • Abstract
    Under the poor condition of low visibility, the pilot may get lost and be in danger when a helicopter is flying fleetly at low altitude. The 3D visual simulation can furnish the pilot a broad vision of the visual 3D geographical environment. The data of those high-resolution images are so great that their read and store are restricted badly. Based on the coefficients correlation after proper lifting scheme wavelets transform, the coefficients are vectorized and the vector quantization coding is applied for digital image compression. The real-time requirement in flight can be realized because of the high compression ratio and fast decoding speed in the light of the non-symmetrical coding of vector quantization.
  • Keywords
    aerospace computing; aerospace safety; data compression; helicopters; image coding; image resolution; vector quantisation; visibility; wavelet transforms; 3D visual simulation; broad vision; coefficient correlation; coefficient vectorization; compression ratio; decompression algorithm; digital image compression; fast decoding speed; helicopter flight; high-resolution images; lifting scheme wavelet transform; low visibility condition; nonsymmetrical coding; real-time flight requirement; vector quantization coding; visual 3D geographical environment; Helicopters; Image coding; Vector quantization; Vectors; Visualization; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376611
  • Filename
    6376611