Title
Multi-object digital auto-focusing using image fusion
Abstract
This paper proposes a novel digital auto-focusing algorithm using image fusion, which restores an out-of-focus image with multiple, differently out-of-focus objects. The proposed auto-focusing algorithm consists of (i) building a prior set of point spread functions (PSFs), (ii) image restoration, and (iii) fusion of the restored images. Instead of designing an image restoration filter for multi-object auto-focusing, we propose an image fusion-based auto-focusing algorithm by fusing multiple, restored images based on prior estimated set of PSFs. The prior estimated PSFs overcome heavy computational overhead and make the algorithm suitable for real-time applications. By utilizing both redundant and complementary information provided by different images, the proposed fusion algorithm can restore images with multiple, out-of-focus objects. Experimental results show the performance of the proposed auto-focusing algorithm.
Year
DOI
Venue
2005
10.1007/11558484_26
ACIVS
Keywords
Field
DocType
proposed auto-focusing algorithm,image fusion,out-of-focus object,proposed fusion algorithm,image restoration,multi-object digital auto-focusing,image restoration filter,auto-focusing algorithm,different image,novel digital auto-focusing algorithm,multi-object auto-focusing,point spread function
Overhead (computing),Computer vision,Pattern recognition,Image fusion,Computer science,Fusion,Digital image,Artificial intelligence,Image restoration,Point spread function
Conference
Volume
ISSN
ISBN
3708
0302-9743
3-540-29032-X
Citations 
PageRank 
References 
2
0.40
3
Authors
4
Name
Order
Citations
PageRank
Jeongho Shin112417.26
Vivek Maik2394.33
Jung-soo Lee3196.91
Joonki Paik461171.87