Name
Abstract | ||
|---|---|---|
We examine color quantization of images using trellis-coded quantization (TCQ) in both the RGB domain and YUV domain. Together with a simple dithering scheme, an eight-bit trellis-coded color quantizer reproduces images that are visually indistinguishable from the 24-bit originals. It can be viewed as a predictive trellis-coded color quantization scheme. We also study trellis-coded vector quantization (TCVQ) for color quantization. Our proposed TCQ-based color quantization schemes are universal in the sense that no training or look-up table is needed. The complexity of TCQ is linear with respect to image size, making trellis-coded color quantization suitable for color printing, real-time interactive graphics and window-based display environment. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1006/rtim.2001.0271 | Real-Time Imaging |
Keywords | Field | DocType |
real time,color quantization,look up table | Computer vision,Color space,Computer science,Color depth,Vector quantization,RGB color model,Artificial intelligence,Dither,Quantization (signal processing),Color quantization,Color image | Journal |
Volume | Issue | ISSN |
8 | 4 | 1077-2014 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Cheng | 1 | 548 | 27.56 |
| Zixiang Xiong | 2 | 3444 | 275.03 |
| Xiaolin Wu | 3 | 3672 | 286.80 |