Abstract :
Image fusion is an image enhancement approach for
increasing the visual perception from two or more imag
e
into a single image. Each image is obtained from different
object in focus. This process is now broadly used in
various application of image processing such as medical
imaging such as MRI, CT [18] and PET, remote sensing,
satellite imaging, in design of
intelligent robot etc. In this
paper we have gone through the literature work done by
the various researchers to obtain high quality improved
image by combining important and desirable features from
two or more images into a single image. Different image
f
usion rules, like maximum selection scheme, weighted
average scheme and window based verification scheme
are discussed. We also discuss about the image fusion
techniques using DWT. Distinct blurred images are fused
using DWT, SWT and using local correlatio
n and their
results are compared. The role of fusion in image
enhancement is also taken into consideration. The results
of different fusion technique are also compared, which are
furnished in pictures and tables
Keyword :
Discrete Wavelet Transform, Compl ex Wavelet Transform, Stationary Wavelet Transform , Principal Component Analysis