Contribution in Hybrid Processing
Dr. Eugene Ageenko
Our contribution in the hybrid image processing can be summarized to:
- Global modeling for line-drawings (concept)
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the modeling based on such global semantic information of an image, as could
not be utilized by local context-based modeling (global modeling for textual
images is adopted in JBIG2).
- Vector feature extraction
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the study of methods for extracting semantic features by Hough transform and
skeleton-based Raster-To-Vector conversion.
- Hybrid Raster-Vector
Image Compression
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a new method for compression of the line-drawing images stored in
raster-graphic format in hybrid raster/vector storage systems.
- Feature-based filtering for line-drawings
(under Image Processing research)
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new feature-based filtering technique for removing quantization noise from
line-drawing images using global semantic information.
More details on contribution can be found in
PUBLICATIONS section
Document
Imaging