In this paper, work-in-progress is presented that concerns mapping of image compression transforms to reconfigurable computing devices. The discussion begins with an overview of several compression algorithms in common use and their classification. The structure and function of two reconfigurable compression implementations (SIMD and FPGA) is described at a high level. The analysis emphasizes time and space complexity of each transformation and its associated implementations.
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This manuscript is available at http://ieeexplore.ieee.org/ and may be cited as: Schmalz, M. S., Witter, G. S., & Caimi, F. M. (1998). Mathematical methods for mapping image and data compression transforms to adaptive computing systems. Oceans '98: Conference proceedings: 28 September-1 October, 1998, Nice, France, Acropolis Convention Center. (Vol. 3, pp. 1629-1633). Piscataway, NJ: Oceans '98 IEEE/OES Conference Organizing Committee. doi:10.1109/OCEANS.1998.726364
Florida Atlantic University. Harbor Branch Oceanographic Institute contribution #1245.