Contour coding based on the decomposition of line segments
Pattern Recognition Letters
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
A new compression technique for binary text images
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
Lossless compression of map contours by context tree modeling of chain codes
Pattern Recognition
Lossless compression of map contours by context tree modeling of chain codes
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Space-efficient boundary representation of volumetric objects
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
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Finite context models improve the performance of chain based encoders to the point that they become attractive, alternative models for binary image compression. The resulting code is within 4% of JBIG at 200 dpi and is 9% more efficient at 400 dpi.