A hierarchical compression method for space images

Authors:
M. V. Gashnikov;N. I. Glumov;V. V. Sergeev
Affiliations:
Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia;Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia;Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia
Venue:
Automation and Remote Control
Year:
2010

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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.