To improve the fusion effect of the PAN (Panchromatic) image and the MS (Multi-Spectral) image, this paper proposes a
new fusion approach with high fidelity of color based on the combination of IHS and wavelet transformation. After the
PAN image and the intensity component of MS image are decomposed respectively by wavelet transformation, lowfrequency
sub-images are fused with a self-adaptive fusion rule based on the improved PCA (Principal Component
Analysis), while the fusion rule of maximum of absolute values with consistent verification is used to fuse highfrequency
sub-images. Then the intensity component of MS image is replaced by the merged data and the fused image is
obtained by inverse IHS transform of the MS image. The subjective visual effect and the objective estimation indicate
that the new method can preserve the color information very well. Compared to the traditional IHS and wavelet
transform based algorithms, the color distortion of the proposed algorithm reduces 47.31% and 26.14% separately. In
addition, compared to the weighted average fusion method of low-frequency coefficients and high-frequency coefficients
substituted directly by high-frequency sub-images of the original PAN image, the color distortion of the introduced
intelligent and self-adaptive fusion rule reduces 6.51% and 24.22% respectively.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.