Name
Abstract | ||
|---|---|---|
OK-Quantization Theory for the digitization in value ensures the reconstructivity of the probabilistic density function of the image. This paper shows some experimental demonstrations to reduce the number of the gray levels, and shows mainly that there is a necessary analytical relationship between sampling and quantization based on the equivalence relationship between two kinds of the integral, Riemann and Lebesgue integrals for calculating the volume of the image. Experimental demonstrations are also shown in this paper. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11612704_48 | ACCV |
Keywords | Field | DocType |
probabilistic density function,gray level,sampling theorem,necessary analytical relationship,ok-quantization theory,equivalence relationship,experimental demonstration,lebesgue integral | Applied mathematics,Equivalence (measure theory),Artificial intelligence,Nyquist–Shannon sampling theorem,Probabilistic logic,Pattern recognition,Riemann hypothesis,Sampling (statistics),Quantization (signal processing),Probability density function,Calculus,Mathematics,Lebesgue integration | Conference |
Volume | ISSN | ISBN |
3852 | 0302-9743 | 3-540-31244-7 |
Citations | PageRank | References |
2 | 0.91 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuji Tanaka | 1 | 2 | 0.91 |
| Takayuki Fujiwara | 2 | 51 | 14.13 |
| Hiroyasu Koshimizu | 3 | 100 | 31.83 |
| Taizo Iijima | 4 | 4 | 4.68 |