Fusion of the multispectral image and the panchromatic image based on nonsubsampled contourlet transform

Author

Yang Song ; Feilu Wang

Author_Institution

Sch. of Electron. & Inf. Eng., Anhui Univ., Hefei, China

fYear

2013

fDate

23-25 July 2013

Firstpage

1339

Lastpage

1343

Abstract

A new image fusion algorithm is proposed by using the nonsubsampled contourlet transform (NSCT) and a lαβ color space to the multispectral image and the panchromatic image. The lαβ color space is a new color space that simulates the visual perception of human. NSCT is used to decompose an image into a low frequency image and several high frequency images, and the regional energy is employed to extract features from the high resolution image. Experimental results indicate that the proposed algorithm can obtain the better visual fusion image which has more rich details.

Keywords

feature extraction; geophysical image processing; image colour analysis; image fusion; image resolution; transforms; visual perception; NSCT; feature extraction; high frequency images; image resolution; lαβ color space; low frequency image; multispectral image fusion; nonsubsampled contourlet transform; panchromatic image; regional energy; visual perception; Educational institutions; Filter banks; Image color analysis; Image fusion; Image resolution; Wavelet transforms; lαβ color space; nonsubsampled contourlet transform; regional energy; remote sensing images;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2013 Ninth International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/ICNC.2013.6818187

Filename

6818187