Performance Evaluation of Medical Image Fusion Approaches
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Abstract
Combining the information from two or more images into a solitary image is known as
image combination that can keep down all the essential features of the first images. The
principle target of image combination is to generate an image which depicts a scene
preferred or considerably higher over any single image concerning some important
properties giving a useful image. These combination techniques are most vital in
diagnosing and treating growth in therapeutic fields.This article focuses on the
development and analysis of various fusion algorithms such as discrete wavelet transform
(DWT), stationary wavelet transform (SWT), fast discrete curvelet transform (F-DCT)
and dis-sub sampled shapelet transform (DS-ST). Also, the quality of the fused image has
been evaluated using a set of quality metrics which is known as image quality assessment
(IQA).
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