Multisensor image fusion based on optimal filter bank

Author

Liu, Gang ; Lu, Xue-qin ; Huang, Guo-hong

Author_Institution

Inst. of Electr. Power & Autom. Control, Shanghai Univ. of Electr. Power, Shanghai

Volume

1

fYear

2008

fDate

30-31 Aug. 2008

Firstpage

177

Lastpage

182

Abstract

A novel optimization-based method for designing wavelet filter banks in image fusion method is proposed. The filter bank design problem is formulated as a nonlinear optimization problem. The objective function of the optimization problem consists of both the performance metrics of the image fusion, such as the Root Mean Square Error (RMSE), and those of individual filters. The optimization problem is solved using simulating annealing.

Keywords

FIR filters; channel bank filters; image fusion; image resolution; mean square error methods; nonlinear programming; simulated annealing; wavelet transforms; channel FIR filter bank; multiresolution image fusion algorithm; multisensor image fusion; nonlinear optimization problem; optimal wavelet filter bank design; root mean square error; simulated annealing; Design methodology; Design optimization; Filter bank; Frequency; Image fusion; Image reconstruction; Image resolution; Low pass filters; Measurement; Wavelet analysis; Filter Design; Image Fusion; Information Fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-2238-8

Electronic_ISBN

978-1-4244-2239-5

Type

conf

DOI

10.1109/ICWAPR.2008.4635772

Filename

4635772