IMAGE MERGING AND DATA FUSION BY MEANS OF THE DISCRETE 2-DIMENSIONAL WAVELET TRANSFORM

被引：186

作者：

YOCKY, DA

机构：

[1] Sandia National Laboratories, Albuquerque, NM

来源：

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 1995年 / 12卷 / 09期

关键词：

D O I：

10.1364/JOSAA.12.001834

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页码：1834 / 1841

页数：8

共 19 条

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