A new progressive transmission scheme using spline biorthogonal wavelet bases is proposed in this paper. First, several wavelet bases are compared with the spline biorthogonal wavelet bases. By exploiting the properties of this set of wavelet bases, a fast algorithm involving only additions and subtractions is developed. Due to the multiresolutional nature of the wavelet transform, this scheme is compatible with hierarchical-structured rendering algorithms. The formula for reconstructing the functional values in a continuous volume space is given in a simple polynomial form. Lossless compression is possible, even when using floating-point numbers. When the algorithm is applied to data from a global ocean model, the lossless compression ratio is about 1.5:1. Even with a compression ratio of 50:1, the reconstructed data is still of good quality. Finally, the reconstructed data is rendered using various visualization algorithms and the results are demonstrated.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Lossless progressive transmission of scientific data using biorthogonal wavelet transform


    Contributors:
    Hai Tao (author) / Moorhead, R.J. (author)


    Publication date :

    1994-01-01


    Size :

    382302 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Lossless Progressive Transmission of Scientific Data using Biorthogonal Wavelet Transform

    Tao, H. / Moorhead, R. J. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Progressive pattern recognition using the wavelet transform

    Decusatis, C. / Abbate, A. / Das, P. | British Library Online Contents | 1997


    Lossless hyperspectral image compression using wavelet transform based spectral decorrelation

    Toreyin, Behcet Ugur / Yilmaz, Ozan / Mert, Yakup Murat et al. | IEEE | 2015


    Lossless SAR image compression using integer to integer wavelet transform

    Wang, Z.-l. / Zhou, Y.-q. | British Library Online Contents | 2000


    Optimal Selection of Multi-dimensional Biorthogonal Wavelet Bases

    Strintzis, M. G. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994