Image fusion with perfect reconstruction DFT/RDFT filter banks and DWT

Author

Ersoy, Okan K.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN

fYear

0

fDate

0-0 0

Abstract

We present a perfect reconstruction DFT/RDFT filter bank algorithm and its application in image fusion in comparison to and in conjunction with the DWT method. In order to achieve perfect reconstruction, it is necessary to modify the input signal slightly with an invertible transformation only when the number of data points is divisible by 4. In image fusion application investigated, a SPOT panchromatic image is fused with a corresponding SPOT multispectral image with three bands. For this purpose, the approximation subband of the multispectral image is merged with the detail subbands of the panchromatic image. The fused image is recovered from the subband images by the perfect reconstruction algorithm. The RDFT and DWT results are comparable. By fusing the two together with another algorithm, better results are obtained

Keywords

discrete Fourier transforms; discrete wavelet transforms; filtering theory; image reconstruction; sensor fusion; spectral analysis; DFT/RDFT filter banks; SPOT multispectral image; SPOT panchromatic image; discrete wavelet transform; image fusion; image reconstruction; real discrete Fourier transform; Channel bank filters; Discrete Fourier transforms; Discrete wavelet transforms; Image fusion; Image reconstruction; Image resolution; Multispectral imaging; Signal resolution; Signal synthesis; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence Methods and Applications, 2005 ICSC Congress on

Conference_Location

Istanbul

Print_ISBN

1-4244-0020-1

Type

conf

DOI

10.1109/CIMA.2005.1662324

Filename

1662324