Performance Evaluation of Image Fusion for Impulse Noise Reduction in Digital Images Using an Image Quality Assessment
Image fusion is the process of combining two or more
images into a single image while retaining the important
features of each image. Multiple image fusion is an
important technique used in military, remote sensing and
medical applications. In this paper, Image Fusion based on
local area variance is used to combine the de-noised images
from two different filtering algorithms, Vector Median
Filter (VMF) and Spatial Median Filter (SMF). The
performance of the Image Fusion is evaluated by using a
new non-reference image quality assessment; Gradient
based Image Quality Index (GIQI), to estimate how well
the important information in the source images is
represented by the fused image. Experimental results show
that GIQI is better in non-reference image fusion
performance assessment than universal image quality index
(UIQI).
Keywords: Image Restoration, Image Fusion, Image Quality Assessment, Impulse Noise, Image Processing
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