Name
Abstract | ||
|---|---|---|
Matching pursuit (MP) is a multiresolution signal analysis method and can be used to render a selected region of an image with a specific quality. A novel, scalable, and progressive MP-based region-of-interest image-coding scheme is presented. The method is capable of providing a trade off between rate, distortion, and complexity. The method also provides an interactive way of information refinement for regions of an image with higher receiver's priority. By selecting a proper subset of the huge initial MP dictionary, using the method described in this paper, the complexity burden of MP analysis can be adapted to the computational power of the image encoder. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TIP.2006.888333 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
matching pursuit,information refinement,image encoder,higher receiver,multiresolution signal analysis method,mp analysis,computational power,huge initial mp dictionary,progressive mp-based region-of-interest,matching pursuit-based region-of-interest image,complexity burden,image resolution,image compression,lossy compression,signal analysis,computational complexity,region of interest,scalability | Matching pursuit,Computer vision,Pattern recognition,Iterative method,Computer science,Image processing,Multiresolution analysis,Encoder,Artificial intelligence,Data compression,Image compression,Computational complexity theory | Journal |
Volume | Issue | ISSN |
16 | 2 | 1057-7149 |
Citations | PageRank | References |
10 | 0.86 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abbas Ebrahimi-Moghadam | 1 | 27 | 4.07 |
| S. Shirani | 2 | 301 | 25.69 |