DocumentCode
3001946
Title
Novel Quality Measures for Image Fusion Based on Structural Similarity and Visual Attention Mechanism
Author
Ren, Xianyi ; Liu, Xiujian ; Hu, Tao ; Zhang, Jihong
Author_Institution
Shenzhen Key Lab. of Visual Media Process. & Transm., Shenzhen Inst. of Inf. Technol., Shenzhen, China
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
1
Lastpage
5
Abstract
A novel objective quality for image fusion based on structural similarity and visual attention mechanism (VAM) is presented. By giving higher weight to the salient areas in the input images, the quality measure can estimate how much visual meaningful information is preserved in the fused image. The correlation analysis between objective measure and subjective evaluation showed that our measures are more consistent with human subjective evaluation.
Keywords
correlation methods; image fusion; VAM; correlation analysis; image fusion; quality measure; structural similarity; visual attention mechanism; Correlation; Humans; Image fusion; Indexes; Q measurement; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4244-7871-2
Type
conf
DOI
10.1109/ICMULT.2010.5630969
Filename
5630969
Link To Document