Name
Abstract | ||
|---|---|---|
The images of three dimensions scene recorded by a camera are in general defocused due to limited depth-of-field of the camera. So, some objects are in focus and others are out-of-focus in the images, which is suffered from degradation due to spatially varying out-of-focus blur. In this paper, we proposed a new method for auto-focusing of multiple objects blurred by different valued point spread function (PSF).The multiple blurred objects are defocused respectively in proportion to the circle of the confusion (COC), so the multiple blurred objects (MBOs) have individually the PSFs in the image. In order to obtain all range well-focused image, we first divide the MBOs into the same degree blurred objects using the several segmentation methods. (In this paper, we do not focus on the segmentation methods, so we discuss about that methods later. We divide the region of same blurred value in manual.) And compute amount of out-of-focus by estimating two-dimensional (2D) PSF, finally we acquire the all region well-focused image using the proposed the boundary model of between objects and background and segmentation-based spatially adaptive image restoration algorithm and boundary.We proposed a new degradation model for auto focus blur between multiple objects with different out of focus parameters and the segmentation-based spatially adaptive regularized iterative restoration algorithm. In the proposed model, the boundary effect of out of focus objects is mathematically analyzed. By using experimental results, we show that the proposed restoration algorithm can efficiently remove the space-variant out of focus blur of multiple blurred objects image. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1117/12.386628 | VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2000, PTS 1-3 |
Keywords | Field | DocType |
auto-focusing, point-spread-function, image restoration, multiple objects, segmentation | Computer vision,Autofocus,Segmentation,Computer science,Image processing,Artificial intelligence,Image restoration,Digital control | Conference |
Volume | ISSN | Citations |
4067 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chungnam Cho | 1 | 0 | 0.68 |
| Sang-Kyu Kang | 2 | 142 | 12.20 |
| Joonshik Yoon | 3 | 0 | 1.01 |
| Joon Ki Paik | 4 | 129 | 18.73 |