Paper Info
Title
Novel multi-focus image fusion based on PCNN and random walks.
Abstract
The purpose of multi-focus image fusion is to acquire an image where all the objects are focused by fusing the source images which have different focus points. A novel multi-focus image fusion method is proposed in this paper, which is based on PCNN and random walks. PCNN is consistent with people’s visual perception. And the random walks model has been proven to have enormous potential to fuse image in recent years. The proposed method first employs PCNN to measure the sharpness of source images. Then, an original fusion map is constructed. Next, the method of random walks is employed to improve the accuracy of the fused regions detection. Finally, the fused image is generated according to the probability computed by random walks. The experiments demonstrate that our method outperforms many existing methods of multi-focus image fusion in visual perception and objective criteria. To assess the performance of our method in practical application, some examples are given at the end of paper.
Year
DOI
Venue
2018
10.1007/s00521-016-2633-9
Neural Computing and Applications
Keywords
Field
DocType
Image fusion, PCNN, Random walks, Fusion rule
Computer vision,Image fusion,Pattern recognition,Random walk,Multi focus,Artificial intelligence,Fuse (electrical),Mathematics,Visual perception
Journal
Volume
Issue
ISSN
29
11
1433-3058
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Zhaobin Wang117010.17
Shuai Wang225248.81
Li-Jie Guo3182.46