Nonlocal structure tensor for pixel level image fusion

2012 ◽  
Author(s):  
Fen Luo ◽  
Bibo Lu
Keyword(s):  
Image Fusion ◽  
Structure Tensor ◽  
Nonlocal Structure

MRI and PET image fusion using structure tensor and dual ripplet-II transform

2017 ◽  
Vol 77 (17) ◽  
pp. 22649-22670 ◽  
Author(s):  
Hamid Reza Shahdoosti ◽  
Adel Mehrabi
Keyword(s):  
Image Fusion ◽  
Structure Tensor

Unsupervised Deep Image Fusion With Structure Tensor Representations

2020 ◽  
Vol 29 ◽  
pp. 3845-3858 ◽  
Author(s):  
Hyungjoo Jung ◽  
Youngjung Kim ◽  
Hyunsung Jang ◽  
Namkoo Ha ◽  
Kwanghoon Sohn
Keyword(s):  
Image Fusion ◽  
Structure Tensor ◽  
Tensor Representations ◽  
Deep Image

scholarly journals Medical image fusion based on variational and nonlinear structure tensor

2018 ◽  
Vol 189 ◽  
pp. 10021
Author(s):  
Xiaobei Wang ◽  
Rencan Nie ◽  
Xiaopeng Guo
Keyword(s):  
Image Fusion ◽  
Medical Image ◽  
Energy Functional ◽  
Structure Tensor ◽  
Fusion Method ◽  
Edge Information ◽  
Medical Image Fusion ◽  
Fused Image ◽  
New Energy ◽  
Fusion Methods

Medical image fusion plays an important role in detection and treatment of disease. Although numerous medical image fusion methods have been proposed, most of them decrease the contrast and lose the image information. In this paper, a novel MRI and CT image fusion method is proposed combining rolling guidance filter, structure tensor, and nonsubsampled shearlet transform (NSST). First, the rolling guidance filter and the sum-modified laplacian (SML) operator are introduced in the algorithm to construct the weight maps in non-linear domain, then the fused gradient is firstly obtained by a new weighted structure tensor fusion method, and the fused image is firstly acquired in NSST domain, finally, a new energy functional is defined to constrain the gradient and pixel information of the final fused image close to the pre-fused gradient and the pre-fused image, experimental results show that the proposed method can retain the edge information of source images effectively and preserve the reduction of contrast.

scholarly journals Variational multi-source image fusion based on the structure tensor

2013 ◽  
Vol 62 (21) ◽  
pp. 214204
Author(s):  
Zhao Wen-Da ◽  
Zhao Jian ◽  
Xu Zhi-Jun
Keyword(s):  
Image Fusion ◽  
Structure Tensor ◽  
Source Image

scholarly journals A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems

2014 ◽  
Vol 23 (12) ◽  
pp. 5531-5544 ◽  
Author(s):  
Giovanni Chierchia ◽  
Nelly Pustelnik ◽  
Beatrice Pesquet-Popescu ◽  
Jean-Christophe Pesquet
Keyword(s):  
Structure Tensor ◽  
Image Recovery ◽  
Nonlocal Structure

Medical Image Fusion in Gradient Domain with Structure Tensor

2016 ◽  
Vol 6 (5) ◽  
pp. 1314-1318 ◽  
Author(s):  
Zhenyi Jin ◽  
Yuanjun Wang ◽  
Zengai Chen ◽  
Shengdong Nie
Keyword(s):  
Image Fusion ◽  
Medical Image ◽  
Structure Tensor ◽  
Medical Image Fusion ◽  
Gradient Domain
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