Title :
Multiscale versus multiresolution analysis for multisensor image fusion
Author :
Chibani, Youcef ; Houacine, Amrane
Author_Institution :
Signal Process. Lab., USTHB, Algiers, Algeria
Abstract :
In this paper, We propose a multisensor image fusion method based on the multiscale decomposition. In this representation, the redundant wavelet transform is performed on input images to emphasise the dominant details present at each scale. A fusion rule is applied between wavelet coefficients in order to produce a fused image. Two different fusion rules are used in the wavelet domain. A quantitative evaluation shows the superiority of our approach over the existing multiresolution method.
Keywords :
image fusion; image resolution; wavelet transforms; multiresolution analysis; multiscale decomposition; multisensor image fusion method; quantitative evaluation; redundant wavelet transform; wavelet coefficients; Image fusion; Image resolution; Signal resolution; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4