Highspeed-Raster
compression without loss
Luzius Ammann, Intergraph (Schweiz) AG
Why compression?
Diagram courtesy: Permabit Blog, 2011
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©2014 Intergraph Corporation
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Compression with(out) loss
TIF = 606 MB + 205 MB
15 MB
JPEG2000 lossless = 245 MB
25 MB reduced
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6 MB Mobile Applications
©2014 Intergraph Corporation
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Wavelet Image Compression
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Leading technology
Lossless or lossy compression
Highest compression with good quality
No additional pyramids needed
Enables data-streaming
 Base for Enhanced Compressed Wavelet
(ECW) and JPEG2000
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©2014 Intergraph Corporation
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Wavelet Example: ECW
ECW
Conventional
Approach
Raw Imagery
Raw Imagery
+1 ECW mosaic file
+Image Tiles
+Tile Pyramids
+Mosaic Overviews
Efficient processing and
simple data structure:
 Easier to manage
 Time effective
 Provides a single source
of truth
 One format to serve all
software clients.
+Tile Cache
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©2014 Intergraph Corporation
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Tile cache – Worked example (Storage)
level 19
cache
With tile-cache to level 19
With tile-cache to level 18
With Pyramids
Uncompressed
38Tb
With tile-cache to level 17
71Tb
+
116
level 18
cache
ECW
0.85Tb
level 17
cache +29
Pyramids
7
Days needed to generate
Imagery Size
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+7
ECW
©2014 Intergraph Corporation
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ECW / JPEG2000 SDK
• Free desktop read-only licences
• No royalties
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©2014 Intergraph Corporation
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Raster-Streaming live
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©2014 Intergraph Corporation
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Luzius Ammann
Technical Consultant
Product Owner BM
Intergraph (Schweiz) AG
Part of Hexagon
[email protected]
www.intergraph.ch
Neumattstrasse 24
8953 Dietikon
Switzerland
T: +41 43 322 46 46