Using Hough transform for context-based image compression in hybrid raster/vector applications

Pasi Franti; Eugene Jevgeni Ageenko; Saku Kukkonen; Heikki A. Kaelviaeinen

doi:10.1117/1.1455014

1 April 2002 Using Hough transform for context-based image compression in hybrid raster/vector applications

Pasi Franti, Eugene Jevgeni Ageenko, Saku Kukkonen, Heikki A. Kaelviaeinen

Journal of Electronic Imaging, Vol. 11, Issue 2, (April 2002). https://doi.org/10.1117/1.1455014

In a hybrid raster/vector system, two representations of the image are stored. Digitized raster image preserves the original drawing in its exact visual form, whereas additional vector data can be used for resolution-independent reproduction, image editing, analysis, and indexing operations. We introduce two techniques for utilizing the vector features in context-based compression of the raster image. In both techniques, Hough transform is used for extracting the line features from the raster image. The first technique uses a feature-based filter for removing noise near the borders of the extracted line elements. This improves the image quality and results in more compressible raster image. The second technique utilizes the line features to improve the prediction accuracy in the context modeling. In both cases, we achieve better compression performance.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Pasi Franti, Eugene Jevgeni Ageenko, Saku Kukkonen, and Heikki A. Kaelviaeinen "Using Hough transform for context-based image compression in hybrid raster/vector applications," Journal of Electronic Imaging 11(2), (1 April 2002). https://doi.org/10.1117/1.1455014

Published: 1 April 2002

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available