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D.Naresh babu(08R21A0427)
S.Siddartha(08R21A0450)
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Introduction Image fusion
A technique that integrates complementary informationfrom
multiple image sensor data such that the new image are moresuitable
for processing tasks.
An image pyramid can be described as collection of low- or
band-pass copies ofan original image in which both the band limit
and sample density are reducedin regular steps.
The basic strategy of image fusion based on pyramids is to use a
featureselection rule to construct a fused pyramid representation
from the pyramidrepresentations of the original data. The composite
image is obtained by takingan inverse pyramid transform.
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DECISION RULE BASEDIMAGE FUSION USING WAVELETTRANSFORM
In recent years, many solutions to image fusion have
beenproposed.
This paper presents an effective multi-resolution image
fusionmethodology, which is wavelet based image fusion.
Fusion process is applied in the clinical case: the study of
some
particular disease by MR/SPECT fusion.
The effectiveness of the proposed model is demonstrated
viaresults comparison with several other image fusion methods.
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Wavelet Transform
What is wavelet Transform:
Wavelet Transform is a type of signalrepresentation that can
give the frequency content ofthe signal at a particular instant of
time.
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Advantages No need to divide the input coding into
non-overlapping2-D blocks, it has
higher compression ratios avoid blocking artifacts.
Allows good localization both in time and spatial frequency
domain.
Transformation of the whole image
introduces inherent scaling
Better identification of which data is relevant to human
perception
higher compression ratio(64:1 vs. 500:1)
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Applications NAVIGATION AID
MEDICAL IMAGING
REMOTE SENSING
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THANK YOU
