IDL - International Digital Library Of Technology & Research Volume 1, Issue 5, May 2017
Available at: www.dbpublications.org
International e-Journal For Technology And Research-2017
Image Maximization Using Multi Spectral Image Fusion Technique Ms. SAVITHA, PG Scholar, VTU University Karnataka Email ID:savib87@gmail.com
ABSTRACT (PCA) and wavelet transform (WT) image This paper reports a detailed study of a set of
image
fusion algorithms
for
its
implementation. The paper explains the theory and implementation of the effective image
fusion
experimental
algorithm
results.
and
Based
the
on
the
research and development of some image quality metrics, the fusion algorithm is evaluated. The report is an image fusion algorithm that evaluates and implements image quality metrics that are used to evaluate the implementation.
have
been
applied
to
hyperspectral and low spatial resolution satellite images with high spatial and low spectral resolution images to obtain a fusion
graph
with
apply and render the results of image fusion algorithms. The subjective (visual) and objective evaluation of the fusion image has been carried out to assess the success of the method. The objective evaluation methods include correlation coefficient (CC), root mean square error (RMSE),
relative
global
dimension
synthesis error (ERGAS) The results show that the PCA method performs better on the top of the spectral
In this study, two different image fusion techniques
fusion MATLAB is used to build the GUto
increased
spatial
resolution Like, while keeping spectral
information, and is less successful in increasing the spatial resolution. The WT is performed after the IHS transformation to improve the spatial resolution and is performed with respect to the preservation of the spectral information after the PCA and WT methods.
information as much as possible. These techniques are raw component analysis
I. INTRODUCTION Image processing techniques focus primarily on enhancing the quality of
IDL - International Digital Library
1|P a g e
Copyright@IDL-2017