Name
Abstract | ||
|---|---|---|
Various contemporary standards by Joint Picture Expert Group, which is used for compression, exploited the correlation among the color components using a component color space transform before the subband transform stage. The transforms used to de-correlate the colors are primarily the fixed kernel transforms, which are not suitable for large class of images. In this paper an image dependent color space transform (ID-CCT), exploiting the inter-channel redundancy optimally and which is very much suitable for compression has been proposed. Also the comparative performance has been evaluated and a significant improvement has been observed, objectively as well as subjectively over other quantifiable methods. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.image.2011.08.001 | Sig. Proc.: Image Comm. |
Keywords | Field | DocType |
large class,novel adaptive color space,joint picture expert group,color component,fixed kernel,quantifiable method,inter-channel redundancy optimally,image dependent color space,image compression,significant improvement,comparative performance,component color space,color space,compression,color image | Computer vision,Color space,Color histogram,Computer science,Color depth,Color balance,RGB color model,Artificial intelligence,Color quantization,Image compression,Color image | Journal |
Volume | Issue | ISSN |
26 | 10 | 0923-5965 |
Citations | PageRank | References |
5 | 0.57 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Satish Kumar Singh | 1 | 224 | 17.23 |
| Shishir Kumar | 2 | 78 | 17.06 |