Abstract
We consider an image compression method based on hierarchical grid interpolation and its application in two practical problems: storing space images in large databases and onboard data processing in remote sensing systems. We give a general description of the method, results of comparing this method with others in both efficiency and access time for space images stored in a database. We give algorithms of stabilizing the compressed data flow and increasing its error-resistance that are necessary to implement the method in onboard systems.
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