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Medical images fusion by using weighted least squares filter and sparse representation

https://doi.org/10.1016/j.compeleceng.2018.03.037
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Multisensor and multiresolution image fusion using the linear mixing model
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Pixel- and region-based image fusion with complex wavelets
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Remote sensing image fusion using the curvelet transform
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Pixel-level image fusion with simultaneous orthogonal matching pursuit
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The multiscale directional bilateral filter and its application to multisensor image fusion
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Simultaneous image fusion and super-resolution using sparse representation
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Statistical comparison of image fusion algorithms: Recommendations
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Fusion of visible and infrared images using saliency analysis and detail preserving based image decomposition
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Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter
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Multifocus image fusion using the nonsubsampled contourlet transform
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Information measure for performance of image fusion
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Matching pursuits with time-frequency dictionaries
inferredcites →https://doi.org/10.1109/icalip.2008.4589989openalex-snapshot
A novel similarity based quality metric for image fusion
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Multi-sensor image fusion using the wavelet transform
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The steerable pyramid: a flexible architecture for multi-scale derivative computation
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Multi- spectral image resolution refinement using stationary wavelet transform
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Multi-Sensor Fusion Based on Local Activity Measure
inferredcites →https://doi.org/10.1109/jstsp.2011.2112332openalex-snapshot
Image Features Extraction and Fusion Based on Joint Sparse Representation
inferredcites →https://doi.org/10.1109/tcom.1983.1095851openalex-snapshot
The Laplacian Pyramid as a Compact Image Code
inferredcites →https://doi.org/10.1109/tip.2013.2244222openalex-snapshot
Image Fusion With Guided Filtering
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Edge-preserving decompositions for multi-scale tone and detail manipulation
inferredcites →https://doi.org/10.14429/dsj.58.1653openalex-snapshot
Pixel-level Image Fusion using Wavelets and Principal Component Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Weighted Guided Filter Based on Structure Tensor
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Local Edge-Aware Weighted Guided Smoothing-Sharpening Filter for Image Processing
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Deep Learning-Based Multimodal Fusion Techniques for Enhanced Diagnosis and Prognosis in Complex Medical Imaging Scenarios
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