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Multi-image fusion: optimal decomposition strategy with heuristic-assisted non-subsampled shearlet transform for multimodal image fusion
Image fusion is significant in various distinct sectors of image processing, from remote sensing to medical applications. In recent years,...
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MRI denoising using advanced NLM filtering with non-subsampled shearlet transform
Many noise removal algorithms have been introduced so far for denoising of MRI images like a bilateral filter, wavelet transform, maximum likelihood,...
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STDPNet: a dual-path surface defect detection neural network based on shearlet transform
Defect detection systems based on machine vision have been widely used as an essential part of intelligent manufacturing systems. However, in...
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Brain image fusion using the parameter adaptive-pulse coupled neural network (PA-PCNN) and non-subsampled contourlet transform (NSCT)
Medical imaging has played an essential role in medicine and disease diagnosis. Medical images from a single modality contain limited data about the...
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MAMIF: multimodal adaptive medical image fusion based on B-spline registration and non-subsampled shearlet transform
Off late, medical image fusion has emerged as an inspiring approach in merging different modalities of medical images. The fused image helps the...
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Non Subsampled Shearlet Transform Based Fusion of Multiple Exposure Images
Fusion of multiple exposure images has attracted attention over the past decade and several algorithms have been developed, so as to capture the...
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Multimodal medical volumetric image fusion using 3-D Shearlet transform and T-S fuzzy reasoning
Multimodal medical volumetric image fusion is a hot topic in medical image processing. Currently, most multi-scale based medical image fusion methods...
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Medical image fusion using non subsampled contourlet transform and iterative joint filter
This study proposes an improved medical image fusion scheme based on components of non subsampled contourlet transform (NSCT) and iterative joint...
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Correction to: Performance analysis of pre-cancerous mammographic image enhancement feature using non-subsampled shearlet transform
A Correction to this paper has been published: https://doi.org/10.1007/s11042-021-11211-5
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FPRSGF denoised non-subsampled shearlet transform-based image fusion using sparse representation
In this work, multiscale decomposition and sparse representation-based multimodal medical image fusion technique is proposed. An efficient denoising...
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Shearlet transform based technique for image fusion using median fusion rule
Image fusion is a challenging research area which is useful in various image processing applications. Image fusion integrates information from...
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Bat optimized 3D anaglyph image watermarking based on maximum noise fraction in the digital Shearlet domain
The unparalleled growth of multimedia data sharing through the internet has made copyright protection and authentication a topical affair. In this...
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An improved hybrid multiscale fusion algorithm based on NSST for infrared–visible images
The key to improving the fusion quality of infrared–visible images is effectively extracting and fusing complementary information such as bright–dark...
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Medical image super-resolution via deep residual neural network in the shearlet domain
This paper proposes aconvolutional neural network (CNN)-based efficient medical image super-resolution (SR) method in the shearlet domain. Because of...
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Medical image fusion by adaptive Gaussian PCNN and improved Roberts operator
Medical image fusion analyzes multiple images obtained by the same/different medical modalities and constructs a robust image that is more useful for...
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Multi-modal Image Fusion Based on Weight Local Features and Novel Sum-Modified-Laplacian in Non-subsampled Shearlet Transform Domain
Multi-modal medical image fusion plays a significant role in clinical applications like noninvasive diagnosis and image-guided surgery. However,...
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MFIF-DWT-CNN: Multi-focus ımage fusion based on discrete wavelet transform with deep convolutional neural network
A new fusion method based on Multi-Focus Image Fusion Based on Discrete Wavelet Transform with Deep Convolutional Neural Network (MFIF-DWT-CNN) is...
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Statistical image watermark decoder by modeling local NSST-PHFMs magnitudes with Morgenstern-type bivariate-generalized exponential distribution
For any image watermarking system, there are three indispensable and mutually constrained requirements, namely robustness, invisibility, and payload....
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Image fusion using dual tree discrete wavelet transform and weights optimization
Image fusion is a useful context in image processing. It goals to produce more informative image using multi-image data with different sensors. In...
