A wavelet-based image fusion tutorial



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Pajares Martinsanz, Gonzalo and Cruz García, Jesús Manuel de la (2004) A wavelet-based image fusion tutorial. Pattern Recognition, 37 (9). pp. 1855-1872. ISSN 0031-3203

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Official URL: http://dx.doi.org/10.1016/j.patcog.2004.03.010


The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition. Different fusion methods have been proposed in literature, including multiresolution analysis. This paper is an image fusion tutorial based on wavelet decomposition, i.e. a multiresolution image fusion approach. We can fuse images with the same or different resolution level, i.e. range sensing, visual CCD, infrared, thermal or medical. The tutorial performs a synthesis between the multi scale-decomposition-based image approach (Proc. IEEE 87 (8) (1999) 1315), the ARSIS concept (Photogramm. Eng. Remote Sensing 66 (1) (2000) 49) and a multisensor scheme (Graphical Models Image Process. 57 (3) (1995) 235). Some image fusion examples illustrate the proposed fusion approach. A comparative analysis is carried out against classical existing strategies, including those of multiresolution.

Item Type:Article
Additional Information:

The authors wish to acknowledge Dr. L. Jañez Head
of the Instituto Complutense de Imagen y Telemedicina,
E. Ortiz co-worker in the same Institution, and Dr. Carreras
Head of PET Institute, for his support in the medical image
fusion applications. They have provided us with the medical
images shown in this work. The constructive recommendations
provided by the reviewers are also gratefully acknowledged.

Uncontrolled Keywords:Spectral Resolution, Landsat TM, Transform, Decomposition, Classification, Performance, Algorithm, Quality.
Subjects:Sciences > Computer science
ID Code:25355
Deposited On:23 May 2014 07:32
Last Modified:31 Dec 2020 00:02

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