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Proceedings Paper

Image fusion based on fractional Fourier domain phase and amplitude
Author(s): Longlong Li; Qiming Zou; Qian Huang; Yan Zhang; Fei Wang
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Paper Abstract

Applying fractional Fourier transform (FRFT) on an image, the phase and amplitude portion have different capability to reflect spectral information of the source image. Generally, the phase portion is of more importance. Taking advantage of these characters, a novel image fusion algorithm, named as FRFT-phase-amplitude, is proposed. Firstly, apply FRFT on source images, and then the amplitude and the phase information are separated. Secondly, fuse the amplitude portion in FRFT domain using the largest absolute value fusion rule. Thirdly, do inverse fractional Fourier transform (IFRFT) on phase portions to get reconstructed phase images, and fuse them in spatial domain by selecting the larger pixel value, then process FRFT on this fused phase image. Finally, combine fused phase portion with fused amplitude portion in fractional domain, and apply IFRFT on the combination to create the fused image. Experiments reveal that the FRFT-phase- amplitude algorithm can produce better fusion effects than methods based on wavelet transform and FRFT.

Paper Details

Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431B (4 March 2015); doi: 10.1117/12.2179513
Show Author Affiliations
Longlong Li, Harbin Institute of Technology (China)
Qiming Zou, Harbin Institute of Technology (China)
Qian Huang, Wright State Univ. (United States)
Yan Zhang, Harbin Institute of Technology (China)
Fei Wang, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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