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Proceedings Paper

Image fusion using DFT based digital filter banks
Author(s): Murat Sezgin; Isin Erer; Okan K. Ersoy
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Paper Abstract

In this paper, we present a new fusion algorithm based on a multidecomposition approach with the DFT based symmetric, zero-phase, nonoverlapping digital filter bank representation. The DFT of the signal is separated into two parts leading to the low and high −pass components then decimated by two to obtain subband signals. The original signal may be recovered by interpolating the subband signals, computing their inverse DFT and summing the results. In the proposed image fusion algorithm, two or more source images are decomposed into subbands by DFT based digital filters. The detail and approximation subband coefficients are modified according to their magnitudes and mean values, respectively. Then, the modified subbands are combined in the subband domain. Finally, the fused image is obtained by the inverse transform.

Paper Details

Date Published: 16 September 2005
PDF: 8 pages
Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590909 (16 September 2005); doi: 10.1117/12.616660
Show Author Affiliations
Murat Sezgin, Istanbul Technical Univ. (Turkey)
Isin Erer, Istanbul Technical Univ. (Turkey)
Okan K. Ersoy, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 5909:
Applications of Digital Image Processing XXVIII
Andrew G. Tescher, Editor(s)

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