Multifocus Image Fusion in Q-Shift DTCWT Domain Using Various Fusion Rules
Joint Authors
Tian, Yingzhong
Luo, Jie
Zhang, Wenjun
Jia, Tinggang
Wang, Aiguo
Li, Long
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Multifocus image fusion is a process that integrates partially focused image sequence into a fused image which is focused everywhere, with multiple methods proposed in the past decades.
The Dual Tree Complex Wavelet Transform (DTCWT) is one of the most precise ones eliminating two main defects caused by the Discrete Wavelet Transform (DWT).
Q-shift DTCWT was proposed afterwards to simplify the construction of filters in DTCWT, producing better fusion effects.
A different image fusion strategy based on Q-shift DTCWT is presented in this work.
According to the strategy, firstly, each image is decomposed into low and high frequency coefficients, which are, respectively, fused by using different rules, and then various fusion rules are innovatively combined in Q-shift DTCWT, such as the Neighborhood Variant Maximum Selectivity (NVMS) and the Sum Modified Laplacian (SML).
Finally, the fused coefficients could be well extracted from the source images and reconstructed to produce one fully focused image.
This strategy is verified visually and quantitatively with several existing fusion methods based on a plenty of experiments and yields good results both on standard images and on microscopic images.
Hence, we can draw the conclusion that the rule of NVMS is better than others after Q-shift DTCWT.
American Psychological Association (APA)
Tian, Yingzhong& Luo, Jie& Zhang, Wenjun& Jia, Tinggang& Wang, Aiguo& Li, Long. 2016. Multifocus Image Fusion in Q-Shift DTCWT Domain Using Various Fusion Rules. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112336
Modern Language Association (MLA)
Tian, Yingzhong…[et al.]. Multifocus Image Fusion in Q-Shift DTCWT Domain Using Various Fusion Rules. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1112336
American Medical Association (AMA)
Tian, Yingzhong& Luo, Jie& Zhang, Wenjun& Jia, Tinggang& Wang, Aiguo& Li, Long. Multifocus Image Fusion in Q-Shift DTCWT Domain Using Various Fusion Rules. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112336
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112336