An Image Fusion Algorithm Using Pseudo Wigner Ville Distribution

Liu Cong; Li Yanjun; Zhang Ke

doi:10.3788/aos20092910.2716

[1] H. Maiter,I. Bloch. Image fusion[J]. Vistas in Astronomy,1997,41(3):329-335

[2] T. Taxt,A. H. S. Solberg. Information fusion in remote sensing[J]. Vistas in Astronomy,1997,41(3):337-342

[3] M. A. Abidi,R. C. Gonzalez. Data Fusion in Robotics and Machine Intelligence[M]. Academic Press,1992

[4] Wang Hong,Jing Zhongliang,Li Jianxun. An image fusion approach based on object region[J]. Chinese J. Lasers,2005,32(3):351-355

[5] Zhao Peng,Pu Zhaobang. Image fusion based on morp hological 42 subband decomposition pyr amid[J]. Acta Optica Sinica,2007,27(1):40-44

[6] Y. Wang,B. Lohmann. Multisensor image fusion:concept,method and applications[J]. Institute of Automatic Technology,University of Bremen,2000

[7] Salvador Gabarda,Gabriel Cristobal,Multifocus image fusion through Pseudo-Wigner distribution[J]. Optical Engineering,2005,44(4):047001-1-047001-9

[8] Salvador Gabarda,Gabriel Cristobal. Volumetric image fusion using the Pseudo-Wigner distribution[C]. SPIE,2004,5558:624-631

[9] Salvador Gabarda,Gabriel Cristobal. The Renyi entropy as a decision measure for a pseudo-Wigner distribution image fusion framework[C]. SPIE,2005,5910:59100E-1-59100E-11

[10] K. H. Brenner. A discrete version of the Wigner distribution function[C]. Proc. EURASIP,Sig. Process. Ⅱ:Theories Application,1983,6:307-309

[11] T. A. C. M. Claasen,W. F. G. Mecklenbrauker. The Wigner distribution-a tool for time-frequency analysis,Parts Ⅰ-Ⅲ[J]. Philips J. Res. 1980,35:217-250,276-300,372-389