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DTCWTASODCNN: DTCWT based Weighted Fusion Model for Multimodal Medical Image Quality Improvement with ASO Technique & DCNN

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Title DTCWTASODCNN: DTCWT based Weighted Fusion Model for Multimodal Medical Image Quality Improvement with ASO Technique & DCNN
 
Creator Singh, Vineeta
Kaushik, Vandana Dixit
 
Subject Atom search optimization
DCNN
Image quality improvement
Medical imaging
Weighted average model
 
Description 850-858
Medical image fusion approaches are sub-categorized as single-mode as well as multimodal fusion strategies.
The limitations of single-mode fusion approaches can be resolved by introducing a multimodal fusion approach. Multimodal
medical image fusion approach is formed by integrating two or more medical images of similar or dissimilar modalities aims
to enhance the image quality and to preserve the image information. Hence, this paper introduced a new way to meld
multimodal medical images via utilizing developed weighted fusion model relied on Dual Tree Complex Wavelet Transform
(DTCWT) for fusing the multimodal medical image. Here, the two medical images are considered for image fusion process
and we have implied DTCWT to the medical images for generating four sub-bands partition of the source medical images.
The Renyientropy-based weighted fusion model is used to combine the weighted coefficient of DTCWT of images.
The final fusion process is carried out using Atom Search Sine Cosine Algorithm (ASSCA)-based Deep Convolutional
Neural Network (DCNN). Moreover, the simulation work output demonstrated for developed fusion model gained the
superior outcomes relied on key indicators named as Mutual Information i.e. MI, Peak Signal to Noise Ratio abbreviated as
PSNR as well as Root Mean Square Error, in short RMSE with the values of 1.554, 40.45 dB as well as 5.554,
correspondingly.
 
Date 2022-08-03T04:55:22Z
2022-08-03T04:55:22Z
2022-08
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/60250
https://doi.org/10.56042/jsir.v81i08.56203
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.81(08) [AUG 2022]