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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5630969
