Image merging and data fusion by means of the discrete two-dimensional wavelet transform

Journal Article · Fri Sep 01 04:00:00 EDT 1995 · Journal of the Optical Society of America, Part A: Optics and Image Science

DOI:https://doi.org/10.1364/JOSAA.12.001834· OSTI ID:249412

Yocky, D A ^[1]

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1. 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 Laboratory
• 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, Journal Name: Journal of the Optical Society of America, Part A: Optics and Image Science Journal Issue: 9 Vol. 12; ISSN 0740-3232; ISSN JOAOD6
• Country of Publication: United States
• Language: English

Related Subjects

66 PHYSICS
CALCULATION METHODS
COLOR
FREQUENCY ANALYSIS
IMAGE PROCESSING
RESOLUTION
SPATIAL RESOLUTION