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| Title | State-Based Modeling and Lossless Coding of Images (in Japanese) |
|---|---|
| Authors | 西村信哉 、堀井俊佑 、松嶋敏泰 |
| Released Year | 2007 |
| Format | Conference |
| Category | Others |
| Jounal Name | Proceedings of the 30th Symposium on Information Theory and its Applications |
| Jounal Page | pp.392-396 |
| Published Year | 2007 |
| Published Month | 11 |
| Abstract （English） |
We consider the modeling and lossless coding of continuous-tone images. We call the modeling statebased, when the distribution of sample value is defined by a conditional probability given a state. We use this modeling for Bayes coding. In a sense, the existing lossless coding algorithms and lossy codings using the transform can be formulated as the form of state-based image modeling. So, we consider some modeling scheams and survey the compression ratio of various modelings experimentally. Then we discuss some ways of modeling, which include to identify a state, to decide a predictor and to set prior distribution, as the indicator of effective lossless image coding. |
| Note （English） |
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