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Publications [#264949] of Guillermo Sapiro

Papers Published

  1. Rane, SD; Sapiro, G, Evaluation of JPEG-LS, the new lossless and controlled-lossy still image compression standard, for compression of high-resolution elevation data, Ieee Transactions on Geoscience and Remote Sensing, vol. 39 no. 10 (October, 2001), pp. 2298-2306, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0196-2892 [doi]
    (last updated on 2019/06/15)

    The compression of elevation data is studied in this paper. The performance of JPEG-LS, the new international ISO/ITU standard for lossless and near-lossless (controlled-lossy) still-image compression, is investigated both for data from the USGS digital elevation model (DEM) database and the navy-provided digital terrain model (DTM) data. Using JPEG-LS has the advantage of working with a standard algorithm. Moreover, in contrast with algorithms like the popular JPEG-lossy standard, this algorithm permits the completely lossless compression of the data as well as a controlled lossy mode where a sharp upper bound on the elevation error is selected by the user. All these are achieved at a very low computational complexity. In addition to these algorithmic advantages, we show that JPEG-LS achieves significantly better compression results than those obtained with other (nonstandard) algorithms previously investigated for the compression of elevation data. The results here reported suggest that JPEG-LS can immediately be adopted for the compression of elevation data for a number of applications.
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