Name
Abstract | ||
|---|---|---|
The multiple description coding method proposed in this paper provides the least amount of degradation, caused by loss of descriptors, for those areas of the image which are of greater interest. This is achieved by employing a nonlinear geometrical transform to add redundancy mainly to the area of interest followed by a partitioning of the transformed image into subimages which are coded and transmitted separately. Simulations show that this approach yields acceptable performance even when only one descriptor is received. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TMM.2005.864349 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Image coding,Degradation,Decoding,Redundancy,Oral communication,Speech,Nonlinear distortion,Sampling methods,Councils,Discrete cosine transforms | Computer vision,Multiple description coding,Nonlinear system,Pattern recognition,Computer science,Image coding,Image processing,Geometric transformation,Redundancy (engineering),Visual communication,Artificial intelligence,Multiple description | Journal |
Volume | Issue | ISSN |
8 | 2 | 1520-9210 |
Citations | PageRank | References |
7 | 0.48 | 8 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Shirani | 1 | 301 | 25.69 |