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2000

Compression of large binary images in digital spatial libraries

11 years 11 months ago
Compression of large binary images in digital spatial libraries
A method for lossless compression of large binary images is proposed for applications where spatial access to the image is needed. The method utilizes the advantages of (1) variable-size context modeling in a form of context trees, and (2) forward-adaptive statistical compression. New strategies for constructing the context tree are introduced, including a fast two-stage bottom-up approach. The proposed technique achieves higher compression rates and allows dense tiling of images down to 50
Eugene I. Ageenko, Pasi Fränti
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where SPIESR
Authors Eugene I. Ageenko, Pasi Fränti
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