Conference paper
Image Coding using Markov Models with Hidden States
The Cylinder Partially Hidden Markov Model (CPH-MM) is applied to lossless coding of bi-level images. The original CPH-MM is relaxed for the purpose of coding by not imposing stationarity, but otherwise the model description is the same.
Language: | English |
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Publisher: | IEEE Computer Society Press |
Year: | 1999 |
Pages: | 524 |
Proceedings: | 1999 IEEE Data Compression Conference |
ISBN: | 076950096X , 076950096x and 9780769500966 |
ISSN: | 23750383 and 10680314 |
Types: | Conference paper |
DOI: | 10.1109/DCC.1999.785681 |
ORCIDs: | Forchhammer, Søren Otto |
Arithmetic Costs Entropy HMM Hidden Markov models Image coding Length measurement Markov processes Optimization methods Testing arithmetic codes backward pass bi-level image conditional probabilities data compression forward backward pass hidden Markov models hidden states image coding image model lossless image coding probability sequential arithmetic coding sequential codes slice process trellis codes trellis structure two-part coding