DocumentCode
2157522
Title
Multispectral and Panchromatic Image Fusion Algorithm Based on Local Spatial Recovery Model
Author
Zhang, Yifan ; He, Mingyi
Volume
4
fYear
2008
fDate
27-30 May 2008
Firstpage
375
Lastpage
379
Abstract
In this paper, Local Spatial Recovery Model (LSRM) between images of the same scene with different spatial resolutions is constructed and utilized in multispectral and panchromatic image fusion to propose a new algorithm (LSRM-MPF algorithm). The newly proposed fusion algorithm employs HIS Transform to separate spectral and spatial information, Redundant Wavelet Transform to separate low- and high-frequency spatial information of source images. Experimental results illustrate that LSRM-MPF algorithm is capable of preserving both spectral and spatial features of source images effectively with adequate calculation time. Soft/hard threshold can also be set to control properties of the fused image according to the practical requirements or application fields.
Keywords
Convolution; Costs; Image fusion; Layout; Low pass filters; Multiresolution analysis; Signal processing algorithms; Software standards; Spatial resolution; Wavelet transforms; Image fusion; local spatial recovery model; multispectral; panchromatic;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.518
Filename
4566680
Link To Document