Name
Abstract | ||
|---|---|---|
In order to compress stereo image pairs effectively, disparity compensation is the most widely used method. In this paper we examined the effects of using different disparity maps and their properties in an embedded JPEG2000 based disparity compensated stereo image coder. These properties include the block size, estimation method and the resulting entropy of the disparity map. Experimental results show that basic block matching gives better results than ground truth, especially on occluded regions and boundaries. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICIP.2005.1530003 | ICIP (2) |
Keywords | Field | DocType |
image coding,image matching,block matching,data compression,disparity map characteristics,stereo image coding,embedded jpeg2000,entropy,stereo image processing,entropy codes,image compression,ground truth | Template matching,Block size,Computer vision,Pattern recognition,Computer science,Coding (social sciences),Basic block,Ground truth,Artificial intelligence,JPEG 2000,Data compression,Stereo image | Conference |
Volume | ISSN | ISBN |
2 | 1522-4880 | 0-7803-9134-9 |
Citations | PageRank | References |
2 | 0.42 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anil Aksay | 1 | 143 | 13.12 |
| M. Oguz Bici | 2 | 34 | 4.74 |
| Gozde Bozdagi Akar | 3 | 129 | 20.15 |