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Journal of Electronic Imaging

Morphological reconstruction of semantic layers in map images
Author(s): Alexey Podlasov; Eugene Jevgeni Ageenko; Pasi Franti
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Paper Abstract

Map images are composed of semantic layers depicted in arbitrary color. Color separation is often needed to divide the image into layers for storage and processing. Separation can result in severe artifacts because of the overlapping of the layers. In this work, we introduce a technique to restore the original semantic layers after the color separation. The proposed restoration technique improves compression performance of the reconstructed layers in comparison to the corrupted ones when compressed by lossless algorithms such as International Communication Unit (ITU) Group 4 (TIFF G4), Portable Network Graphics (PNG), Joint Bi-level Image experts Group (JBIG), and context tree method. The resulting technique also provides good visual quality of the reconstructed image layers, and can therefore be applied for selective layer removal/extraction in other map processing applications, e.g., area measurement.

Paper Details

Date Published: 1 January 2006
PDF: 10 pages
J. Electron. Imag. 15(1) 013016 doi: 10.1117/1.2178188
Published in: Journal of Electronic Imaging Volume 15, Issue 1
Show Author Affiliations
Alexey Podlasov, Joensuu Yliopisto (Finland)
Eugene Jevgeni Ageenko, Joensuu Yliopisto (Finland)
Pasi Franti, Joensuu Yliopisto (Finland)

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