Name
Title | ||
|---|---|---|
Blur identification and image restoration based on evolutionary multiple object segmentation for digital auto-focusing |
Abstract | ||
|---|---|---|
This paper presents a digital auto-focusing algorithm based on evolutionary multiple object segmentation method. Robust object segmentation can be conducted by the evolutionary algorithm on an image that has several differently out-of-focused objects. After segmentation is completed, point spread functions (PSFs) are estimated at differently out-of-focused objects and spatially adaptive image restorations are applied according to the estimated PSFs. Experimental results show that the proposed auto-focusing algorithm can efficiently remove the space-variant out-of-focus blur from the image with multiple, blurred objects. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30503-3_50 | IWCIA |
Keywords | Field | DocType |
estimated psfs,point spread function,spatially adaptive image restoration,evolutionary multiple object segmentation,proposed auto-focusing algorithm,out-of-focused object,digital auto-focusing algorithm,robust object segmentation,blur identification,evolutionary algorithm,image restoration | Active contour model,Computer vision,Scale-space segmentation,Evolutionary algorithm,Computer science,Segmentation,Image processing,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Image restoration | Conference |
Volume | ISSN | ISBN |
3322 | 0302-9743 | 3-540-23942-1 |
Citations | PageRank | References |
1 | 0.37 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeongho Shin | 1 | 124 | 17.26 |
| Sunghyun Hwang | 2 | 33 | 6.21 |
| Kiman Kim | 3 | 27 | 5.88 |
| Jinyoung Kang | 4 | 2 | 1.42 |
| Seong-Won Lee | 5 | 112 | 16.01 |
| Joonki Paik | 6 | 611 | 71.87 |