Title :
Hybrid multispectral image fusion method
Author :
Zaveri, Tanish ; Makwana, Ishit ; Zaveri, Mukesh
Author_Institution :
Electron. & Commun. Eng. Dept., Nirma Univ., Ahmedabad, India
Abstract :
In this paper hybrid multispectral image fusion method using discrete wavelet transform is proposed which provides novel tradeoff solution to preserve both spectral and spatial information simultaneously in resultant fused image. Standard Pan-sharpening methods do not allow control of the spatial and spectral quality of the fused image. The color distortion is also most significant problem in standard pan-sharpening methods. In this method hybrid image fusion rules are also proposed. Proposed method is applied on number of priori geometrically registered Panchromatic and Multispectral images and simulation results are compared with standard image fusion parameters. The simulation results of proposed method are also compared with six different standard and recently proposed Pan sharpening methods. It has been observed that simulation results of our proposed algorithm preserve more detailed spatial and spectral information and better visual quality compared to earlier reported methods.
Keywords :
discrete wavelet transforms; image fusion; discrete wavelet transform; hybrid multispectral image fusion method; priori geometrically registered Panchromatic image; standard pan sharpening method; Discrete wavelet transforms; Image fusion; Medical simulation; Multispectral imaging; Principal component analysis; Remote sensing; Satellites; Solid modeling; Spatial resolution; Wavelet transforms;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393874