Journal ArticleDOI
Anatomical-Functional Image Fusion by Information of Interest in Local Laplacian Filtering Domain
Jiao Du,Weisheng Li,Bin Xiao +2 more
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TLDR
A novel method for performing anatomical magnetic resonance imaging-functional (positron emission tomography or single photon emission computed tomography) image fusion is presented and can obtain better performance, compared with the state-of-the-art fusion methods.Abstract:
A novel method for performing anatomical magnetic resonance imaging-functional (positron emission tomography or single photon emission computed tomography) image fusion is presented. The method merges specific feature information from input image signals of a single or multiple medical imaging modalities into a single fused image, while preserving more information and generating less distortion. The proposed method uses a local Laplacian filtering-based technique realized through a novel multi-scale system architecture. First, the input images are generated in a multi-scale image representation and are processed using local Laplacian filtering. Second, at each scale, the decomposed images are combined to produce fused approximate images using a local energy maximum scheme and produce the fused residual images using an information of interest-based scheme. Finally, a fused image is obtained using a reconstruction process that is analogous to that of conventional Laplacian pyramid transform. Experimental results computed using individual multi-scale analysis-based decomposition schemes or fusion rules clearly demonstrate the superiority of the proposed method through subjective observation as well as objective metrics. Furthermore, the proposed method can obtain better performance, compared with the state-of-the-art fusion methods.read more
Citations
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Journal ArticleDOI
Medical Image Fusion and Denoising Algorithm Based on a Decomposition Model of Hybrid Variation-Sparse Representation
TL;DR: Wang et al. as mentioned in this paper proposed a new image layer decomposition model based on hybrid variation-sparse representation and weighted Schatten p-norm, which can effectively remove noise while retaining the gradient information without color distortion.
Journal ArticleDOI
Multi-focus image fusion based on HOSVD and parameter adaptive PCNN in fast local Laplacian filtering domain
TL;DR: To augment edge preservation capabilities and detail enhancement in multi-focus image fusion, a new Multi-Focus image fusion algorithm is proposed in this article , which selects fast local laplacian filtering (FLLF) as the multi-scale decomposition tool to decompose the source image into an approximate image and multiple detail images.
Journal ArticleDOI
Multimodal medical image fusion using residual network 50 in non subsampled contourlet transform
TL;DR: In this article , the authors proposed a multimodal image fusion model that provides elevated performance over existing models via diverse diseases using MRI-SPECT and MRI-PET using phase congruency and guided filtering fusion rules.
Journal ArticleDOI
Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset
TL;DR: Omidvar et al. as mentioned in this paper proposed a Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset.
Proceedings ArticleDOI
An Improved Visible and Infrared Image Fusion Based on Contrast with Directional Filter Banks and Optimization
TL;DR: This paper uses contrast pyramid to decompose the image; and the directional Filter bank is applied to obtain multiple directional sub-band image and introduces the whale optimization algorithm to search the optimal fusion coefficients, which will be used to computational reconstruct the final fusion image.
References
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