Quantization method for image data compression employing context modeling algorithm
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United States of America Patent
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Jun 17, 1997
Issued Date -
N/A
app pub date -
May 6, 1996
filing date -
Jan 3, 1994
priority date (Note) -
Expired
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Abstract
A method, system, and manufacture are provided, for use in connection with data processing and compression, for quantizing a string of data values, such as image data pixel values. The quantization is achieved by grouping the data values, based on their values, into a predetermined number of categories, each category containing the same total number of values. For each category, a value, preferably a mean value of those in the category, is selected as a quantization value. All of the data values in the category arc then represented by the selected quantization value. For data strings having a dependency (that is, the values of one or more of the data values provide information about values of other of the data values), the dependency is modeled by a method in which a modeling algorithm defines contexts in terms of a tree structure, and the basic method of grouping into categories and selecting a quantization value for each category is performed on a per node (i.e., per context) basis.
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Patent Owner(s)
| Patent Owner | Address | |
|---|---|---|
| INTERNATIONAL BUSINESS MACHINES CORPORATION | ARMONK NY 10504 |
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Inventor(s)
| Inventor Name | Address | # of filed Patents | Total Citations |
|---|---|---|---|
| Furlan, Gilbert | Roquebrune-Cap-Martin, FR | 5 | 219 |
| Rissanen, Jorma Johannes | Los Gatos, CA | 3 | 267 |
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| Surcharge after expiration - Late payment is unavoidable | $700.00 | $350.00 | $175.00 |
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