Image fusion using DFT based digital filter banks

Murat Sezgin*, Işin Erer, Okan K. Ersoy

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number590909
Pages (from-to)1-8
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2005
EventApplications of Digital Image Processing XXVIII - San Diego, CA, United States
Duration: 2 Aug 20054 Aug 2005


  • Discrete Fourier Transform
  • Filter Banks
  • Image Fusion


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