Abstract
Gaussian pyramid framework (GPF) and Laplacian pyramid framework (LPF) are the two main frameworks used for transmission and structure of spatial image and geometric data. LPF is the main approach for progressive transmission of spatial image data. This paper discusses the issues in structure, transmission and storage efficiency of spatial data in the current spatially distributed visualization system. Later in the paper a novel approach is introduced to structure and store spatial data based on the LPF. This new approach builds (spatial) index for transformed frequency data within different ranges based on splitting high-frequency and low-frequency data by biorthogonal transformation. This approach decreases the storage consumption and network data traffic for transmission while enables the progressive transmission of spatial image.
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