21 September 2007 Surface compression using over-determined Laplacian approximation
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Abstract
We describe a surface compression technique to lossily compress elevation datasets. Our approach first approximates the uncompressed terrain using an over-determined system of linear equations based on the Laplacian partial differential equation. Then the approximation is refined with respect to the uncompressed terrain using an error metric. These two steps work alternately until we find an approximation that is good enough. We then further compress the result to achieve a better overall compression ratio. We present experiments and measurements using different metrics and our method gives convincing results.
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Zhongyi Xie, Zhongyi Xie, W. Randolph Franklin, W. Randolph Franklin, Barbara Cutler, Barbara Cutler, Marcus A. Andrade, Marcus A. Andrade, Metin Inanc, Metin Inanc, Daniel M. Tracy, Daniel M. Tracy, "Surface compression using over-determined Laplacian approximation", Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970F (21 September 2007); doi: 10.1117/12.741224; https://doi.org/10.1117/12.741224
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