Name
Abstract | ||
|---|---|---|
Common compression systems treat color image channels similarly. Nonlinear color models like Hue-Saturation-Value/ Brightness/ Luminance/ Intensity (HSV/ HSB/ HSL/ HSI) have special features for each channel. In this paper a new hybrid compression system is proposed for encoding color images in HSI color model. The proposed encoding system deals with each channel with a suitable compression technique to obtain encoded images with less size and high decoding quality than the traditional encoding methods. There are three encoding techniques will be mixed in the proposed system; object compression technique for the hue channel, Luma (Y) Intensity (I) Difference (D) for saturation, and the standard JPEG2000 encoding technique for the intensity channel. The proposed system results demonstrate the proposed architecture and give considerable compression ratio with good decoding quality. |
Year | Venue | Keywords |
|---|---|---|
2013 | INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY | Hue, saturation, intensity, encoding, compression |
Field | DocType | Volume |
HSL and HSV,Computer vision,Color space,Pattern recognition,Computer science,Hue,Color model,Artificial intelligence,JPEG 2000,Decoding methods,Brightness,Color image | Journal | 10 |
Issue | ISSN | Citations |
6 | 1683-3198 | 2 |
PageRank | References | Authors |
0.37 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noura Semary | 1 | 27 | 4.08 |
| Mohiy M. Hadhoud | 2 | 26 | 5.11 |
| Hatem Abdul-kader | 3 | 8 | 2.89 |
| Alaa M. Abbas | 4 | 48 | 6.01 |