机构:
Wuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R ChinaWuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R China
Liu, Quan
[1
]
Hu, Wenjuan
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R ChinaWuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R China
Hu, Wenjuan
[1
]
Jiang, Xuemei
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R ChinaWuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R China
Jiang, Xuemei
[1
]
机构:
[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R China
来源:
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS
|
2006年
关键词:
image fusion;
wavelet multi-resolution;
HVS;
direction contrast;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Wavelet direction contrast based on wavelet multi-resolution and HVS is applied into image fusion. A new fusion scheme is proposed, in which a correlated salience measure function and a normalized correlation measure function for source images are defined while a simple equation for weighted fusion coefficients selection is adopted. Experimental results demonstrate that this improved scheme not only has a better visual effect than former fusion schemes, but also simplifies the computation complexity.