R.R. Estes, Jr., Center for Image Process. & Integrated Comput., California Univ., Davis, CA, US
V.R. Algazi, Center for Image Process. & Integrated Comput., California Univ., Davis, CA, US
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.
Index Terms:
data compression; image coding; document image processing; error free chain coding; binary documents; chain based encoders; binary image compression; JBIG; finite context models
Citation:
R.R. Estes, Jr., V.R. Algazi, "Efficient error free chain coding of binary documents," dcc, pp.122, Data Compression Conference (DCC '95), 1995