Image Fusion Based Circular Wavelet and Regularized Rule

Author

Jipeng Lin ; Junhua Liu

Author_Institution

Sch. of Electron. & Control, Chang´an Univ., Xi´an

Volume

1

fYear

2008

fDate

27-30 May 2008

Firstpage

632

Lastpage

635

Abstract

Images fusion using the wavelet approach provides a conceptual framework for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. A method based on regularized rule is presented to fuse the coefficients of two source images in every level of wavelet transform. The frequency band of decomposition coefficients is also discussed, and a simple way to reconstructed wavelet based on circular convolution is proposed to solve the image boundary effect. As a result ,the fused image is less distort than each source image.

Keywords

convolution; image fusion; image reconstruction; image resolution; wavelet transforms; circular convolution; circular wavelet reconstruction; conceptual framework; decomposition coefficient; image fusion; regularized rule; spatial resolution; wavelet transform; Convolution; Filter bank; Frequency conversion; Fuses; Image fusion; Image resolution; Multiresolution analysis; Signal resolution; Wavelet coefficients; Wavelet transforms; image fusion; regularized rule; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2008. CISP '08. Congress on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3119-9

Type

conf

DOI

10.1109/CISP.2008.420

Filename

4566232