Image merging and data fusion by means of the discrete two-dimensional wavelet transform
- Sandia National Laboratories, Albuquerque, New Mexico 87185-0573 (United States)
A new technique is developed for the merging and data fusion of two images. Two spatially registered images with differing spatial resolutions and color content are merged by combining multiresolution wavelet-decomposition components from each and then reconstructing the merged image by means of the inverse wavelet transform. The wavelet merger can employ a variety of wavelet bases, but in presentation of the concept, simple orthonormal sets---Haar and Daubechies wavelets---are explored. The wavelet technique is compared with the intensity--hue--saturation merging technique by means of multispectral and panchromatic test images. The results of the comparison show the wavelet merger performing better in combining and preserving spectral--spatial information for the test images.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 249412
- Journal Information:
- Journal of the Optical Society of America, Part A: Optics and Image Science, Vol. 12, Issue 9; Other Information: PBD: Sep 1995
- Country of Publication:
- United States
- Language:
- English
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