Paper Info
Title
Overall Well-Focused Catadioptric Image Acquisition With Multifocal Images: A Model-Based Method
Abstract
When a catadioptric imaging system suffers from limited depth of field, a single image cannot capture all the objects with clear focus. To solve this problem, a set of multifocal images can be used to extend the depth of the field by fusing the best-focused image regions to an overall well-focused composite image. In this paper, we propose a novel model-based method that avoids the computational cost problem of previous extended-depth-of-field algorithms. On the basis of the special optical geometry properties of catadioptric systems, the proposed model describes the shapes of the best-focused image regions in multifocal images by a series of neighboring concentric annuluses. Then we propose a method to estimate the model parameters. On the basis of this model, an overall well-focused image is obtained by combining the best-focused regions with a fast and reliable online operation. Experiments on catadioptric images of a variety of different scenes and camera settings verify the validity of the model and the robust performance of the proposed method.
Year
DOI
Venue
2012
10.1109/TIP.2012.2195010
IEEE Transactions on Image Processing
Keywords
Field
DocType
shape,computational modeling,parameter estimation,catadioptric system,image fusion,materials,optical imaging
Optical reflection,Computer vision,Concentric,Image fusion,Pattern recognition,Composite image filter,Artificial intelligence,Estimation theory,Optical imaging,Mathematics,Depth of field,Catadioptric system
Journal
Volume
Issue
ISSN
21
8
1057-7149
Citations 
PageRank 
References 
4
0.42
12
Authors
2
Name
Order
Citations
PageRank
Weiming Li191.86
Y. F. Li21128105.83