Journal
INFORMATION FUSION
Volume 14, Issue 2, Pages 127-135Publisher
ELSEVIER
DOI: 10.1016/j.inffus.2011.08.002
Keywords
Image fusion assessment; Fused image quality; Visual information fidelity; Visual information fidelity for fusion
Funding
- National Natural Science Foundation of China [61004088]
- Key Foundation for Basic Research from Science and Technology Commission of Shanghai [09JC1408000]
- National Basic Research Program (973 Program) [6131010306]
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Because subjective evaluation is not adequate for assessing work in an automatic system, using an objective image fusion performance metric is a common approach to evaluate the quality of different fusion schemes. In this paper, a multi-resolution image fusion metric using visual information fidelity (VIF) is presented to assess fusion performance objectively. This method has four stages: (1) Source and fused images are filtered and divided into blocks. (2) Visual information is evaluated with and without distortion information in each block. (3) The visual information fidelity for fusion (VIFF) of each sub-band is calculated. (4) The overall quality measure is determined by weighting the VIFF of each sub-band. In our experiment, the proposed fusion assessment method is compared with several existing fusion metrics using the subjective test dataset provided by Petrovic. We found that VIFF performs better in terms of both human perception matching and computational complexity. (C) 2011 Elsevier B.V. All rights reserved.
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