Integer cosine transform compression for Galileo at Jupiter: A preliminary look

Mathematics

Scientific paper

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Compression Ratio, Data Compression, Image Processing, Image Reconstruction, Root-Mean-Square Errors, Transformations (Mathematics), Algorithms, Cosine Series, Distortion, Galileo Project

Scientific paper

The Galileo low-gain antenna mission has a severely rate-constrained channel over which we wish to send large amounts of information. Because of this link pressure, compression techniques for image and other data are being selected. The compression technique that will be used for images is the integer cosine transform (ICT). This article investigates the compression performance of Galileo's ICT algorithm as applied to Galileo images taken during the early portion of the mission and to images that simulate those expected from the encounter at Jupiter.

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