A novel image fusion algorithm using FRIT AND PCA

Author

Qiguang, Miao ; Baoshu, Wang

Author_Institution

Xidian Univ., Xian

fYear

2007

fDate

9-12 July 2007

Firstpage

1

Lastpage

5

Abstract

The proposed new fusion algorithm is based on the finite Ridgelet transform(FRIT) and PCA. FRIT could capture two and higher dimensional singularity is analyzed. FRIT is used to decompose the image into low and high frequency components. The PCA method is used to fuse the low frequency coefficients. And for the high frequency coefficients, the maximum-method and the region consistency check are adopted. Experiments show that the proposed algorithm outperforms the wavelet transform method and the Laplacian pyramid methods in preserving the edge and texture information.

Keywords

image processing; principal component analysis; wavelet transforms; Laplacian pyramid methods; finite Ridgelet transform; high frequency coefficients; image fusion algorithm; principal component analysis; region consistency check; wavelet transform method; Continuous wavelet transforms; Discrete transforms; Discrete wavelet transforms; Frequency; Fuses; Image fusion; Laplace equations; Principal component analysis; Wavelet analysis; Wavelet transforms; Image fusion; PCA; finite Radon transform; finite ridgelet transform; singularity;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2007 10th International Conference on

Conference_Location

Quebec, Que.

Print_ISBN

978-0-662-45804-3

Electronic_ISBN

978-0-662-45804-3

Type

conf

DOI

10.1109/ICIF.2007.4408067

Filename

4408067