Paper
15 September 2005 Image fusion using DFT-based digital filter banks
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Murat Sezgin, Isin Erer, and Okan K. Ersoy "Image fusion using DFT-based digital filter banks", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590909 (15 September 2005); https://doi.org/10.1117/12.616660
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KEYWORDS
Image fusion

Digital filtering

Medical imaging

Electronic filtering

Image sensors

Wavelets

Computed tomography

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