Name
Abstract | ||
|---|---|---|
Color quantization is a technique that reduces the number of distinct colors for a color image. It usually maps pixels of the color image to a small color palette. The display quality of the color-quantized image is taken most seriously. But in practical applications, we also need to consider the complexity of quantization algorithm and the storage of parameters. We develop a 3D mathematic model to design the color palette such that the above things are solved. We will show the proposed scheme is computationally inexpensive and the display quality of the color-quantized image tends to perform better as the codebook size increases, but the storage of total parameters does not increase. In addition, we also prove the color-mapped images generated can be used for the edge detection of color image. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5413949 | ICIP |
Keywords | Field | DocType |
color palette,fibonacci sequences,image coding,color-mapped images,color-quantized image,spherical fibonacci lattice,display quality,image resolution,quantization,color image,distinct color,quantization algorithm,small color palette,fibonacci lattice,codebook size increase,edge detection,3d spherical fibonacci lattices,color-mapped image,color,color quantization,image colour analysis,lattices,indexes,mathematical model,pixel | Computer vision,High color,Color space,Color histogram,Computer science,Color balance,Color depth,Artificial intelligence,RGB color model,Color quantization,Color image | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 1 |
PageRank | References | Authors |
0.49 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soo-Chang Pei | 1 | 449 | 46.82 |
| Hsin-Hua Liu | 2 | 27 | 5.68 |
| Jun-Horng Chen | 3 | 11 | 6.46 |