Name
Abstract | ||
|---|---|---|
This paper presents a new quantization algorithm that combines the quantization strategies of two existing methods. For uniformly smooth or detailed images, the new method improves upon both of the individual quantization strategies that make it up over 85% of the time, while a certain class of images mixing smoothness and detail are improved upon over 77% of the time. Even more important than the results, however, is the algorithm for combining the quantization strategies, which can be applied to other, more recent strategies to achieve even better results. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.imavis.2003.09.011 | Image and Vision Computing |
Keywords | Field | DocType |
Image compression,Quantization,Wavelet coefficient tree,Measure of coarseness | Linde–Buzo–Gray algorithm,Pattern recognition,Vector quantization,Artificial intelligence,Trellis quantization,Quantization (image processing),Quantization (signal processing),Smoothness,Image compression,Mathematics | Journal |
Volume | Issue | ISSN |
22 | 3 | 0262-8856 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Shelley | 1 | 1 | 0.36 |
| Xiaobo Li | 2 | 53 | 6.44 |
| Bin Han | 3 | 57 | 8.15 |