TY - GEN
T1 - Image fusion based on fractional Fourier domain phase and amplitude
AU - Li, Longlong
AU - Zou, Qiming
AU - Huang, Qian
AU - Zhang, Yan
AU - Wang, Fei
N1 - Publisher Copyright:
© 2015 SPIE.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Image fusion
KW - amplitude
KW - fractional Fourier transforms
KW - image reconstruction
KW - phase
UR - https://www.scopus.com/pages/publications/84925400716
U2 - 10.1117/12.2179513
DO - 10.1117/12.2179513
M3 - 会议稿件
AN - SCOPUS:84925400716
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Sixth International Conference on Graphic and Image Processing, ICGIP 2014
A2 - Zhang, David
A2 - Wang, Yulin
A2 - Jiang, Xudong
PB - SPIE
T2 - 6th International Conference on Graphic and Image Processing, ICGIP 2014
Y2 - 24 October 2014 through 26 October 2014
ER -