Name
Abstract | ||
|---|---|---|
To attain a high compression ratio and high-quality reconstructed images, an irregular segmented region coding algorithm is developed. An novel segmentation algorithm using spiking cortical model is applied to partition an image into irregular regions and tidy contours, the crucial regions corresponding to objects in scene are retained and a lot of tiny parts are merged. The experimental results show higher quality reconstructed images and less time consuming under higher compression ratio. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23887-1_48 | AICI (2) |
Keywords | Field | DocType |
novel image,irregular segmented region,irregular region,higher quality,visual cortical model,crucial region,high compression ratio,spiking cortical model,novel segmentation algorithm,higher compression ratio,high-quality reconstructed image | Computer vision,Pattern recognition,Segmentation,Computer science,Image coding,Coding algorithm,Compression ratio,Artificial intelligence,Machine learning,Image compression,Chain code | Conference |
Volume | ISSN | Citations |
7003 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rongchang Zhao | 1 | 30 | 4.63 |
| Yide Ma | 2 | 459 | 34.74 |