Adaptive Partially Hidden Markov Models with Application to
                Bilevel Image Coding

Søren Otto Forchhammer; Tage Rasmussen

Adaptive Partially Hidden Markov Models with Application to Bilevel Image Coding

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

Adaptive Partially Hidden Markov Models (APHMM) are introduced extending the PHMM models. The new models are applied to lossless coding of bi-level images achieving resluts which are better the JBIG standard.

Original language	English
Journal	I E E E Transactions on Image Processing
Volume	8
Issue number	11
Pages (from-to)	1516-1526
ISSN	1057-7149
Publication status	Published - 1999

Cite this

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title = "Adaptive Partially Hidden Markov Models with Application to Bilevel Image Coding",

abstract = "Adaptive Partially Hidden Markov Models (APHMM) are introduced extending the PHMM models. The new models are applied to lossless coding of bi-level images achieving resluts which are better the JBIG standard.",

author = "Forchhammer, {S{\o}ren Otto} and Tage Rasmussen",

year = "1999",

language = "English",

volume = "8",

pages = "1516--1526",

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issn = "1057-7149",

publisher = "Institute of Electrical and Electronics Engineers",

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T1 - Adaptive Partially Hidden Markov Models with Application to Bilevel Image Coding

AU - Forchhammer, Søren Otto

AU - Rasmussen, Tage

PY - 1999

Y1 - 1999

N2 - Adaptive Partially Hidden Markov Models (APHMM) are introduced extending the PHMM models. The new models are applied to lossless coding of bi-level images achieving resluts which are better the JBIG standard.

AB - Adaptive Partially Hidden Markov Models (APHMM) are introduced extending the PHMM models. The new models are applied to lossless coding of bi-level images achieving resluts which are better the JBIG standard.

M3 - Journal article

VL - 8

SP - 1516

EP - 1526

JO - I E E E Transactions on Image Processing

JF - I E E E Transactions on Image Processing

SN - 1057-7149

IS - 11

ER -