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The maximum entropy and thereby the capacity of two-dimensional (2-D) fields given by certain constraints on configurations is considered. Upper and lower bounds are derived. A new class of 2-D processes yielding good lower bounds is introduced. Asymptotically, the process achieves capacity for constraints with limited long-range effects. The processes are general and may also be applied to, e.g., data compression of digital images. Results are given for the binary hard square model, which is a 2-D run-length-limited model and some other 2-D models with simple constraints
Published in:
Information Theory, IEEE Transactions on
(Volume:45
,
Issue:
1
)
Date of Publication: Jan 1999
- Page(s):
- 118 - 127
- ISSN :
- 0018-9448
- INSPEC Accession Number:
- 6192064
- Digital Object Identifier :
- 10.1109/18.746776
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jan 1999
- Sponsored by :
- IEEE Information Theory Society
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