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Journal ArticleDOI

Objective image fusion performance measure

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TLDR
Experimental results clearly indicate that this metric reflects the quality of visual information obtained from the fusion of input images and can be used to compare the performance of different image fusion algorithms.
Abstract
A measure for objectively assessing the pixel level fusion performance is defined. The proposed metric reflects the quality of visual information obtained from the fusion of input images and can be used to compare the performance of different image fusion algorithms. Experimental results clearly indicate that this metric is perceptually meaningful.

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Citations
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Journal ArticleDOI

MFIF-GAN: A new generative adversarial network for multi-focus image fusion

TL;DR: A series of experimental results demonstrate that the MFIF-GAN is superior to several representative state-of-the-art (SOTA) algorithms in visual perception, quantitative analysis as well as efficiency.
Journal ArticleDOI

Curvelet Transform-based volume fusion for correcting signal loss artifacts in Time-of-Flight Magnetic Resonance Angiography data

TL;DR: A 3D Curvelet Transform-based image fusion approach is proposed for signal loss artifact reduction of TOF volume data to facilitate model-based fluid analysis and pre/post-operative treatment of patients with brain aneurysms.
Journal ArticleDOI

DWT-Based Multisource Image Fusion using Spatial Frequency and Simplified Pulse Coupled Neural Network

TL;DR: A new discrete wavelet transform (DWT)-based multisource image fusion algorithm using spatial frequency and a simplified pulse coupled neural network model named spiking cortical model (SCM) is presented.
Journal ArticleDOI

Multimodal medical image fusion by cloud model theory

TL;DR: A novel multimodal medical image fusion method by cloud model theory that fits the histograms of input images using the high-order spline function firstly and then divides intervals in line with the valley point of the fitted curve to achieve the fused image.
Journal ArticleDOI

MMF: A Multi-scale MobileNet based fusion method for infrared and visible image

TL;DR: Experimental results show that the multi-scale MobileNet based fusion method for the infrared and visible image achieves state-of-art performance in qualitative and quantitative evaluation and is 1-2 orders of magnitude faster than the representative image fusion methods based on CNN.
References
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Journal ArticleDOI

Multisensor image fusion using the wavelet transform

TL;DR: In this article, an image fusion scheme based on the wavelet transform is presented, where wavelet transforms of the input images are appropriately combined, and the new image is obtained by taking the inverse wavelet transformation of the fused wavelet coefficients.
Book

The Perception of Visual Information

TL;DR: This book examines the current status of what is known (and not known) about human vision, how human observers interpret visual data, and how to present such data to facilitate their interpretation and use.
Proceedings ArticleDOI

Cross-band pixel selection in multiresolution image fusion

TL;DR: Preliminary subjective image fusion results demonstrate clearly the advantage which the proposed cross-band selection technique offers, when compared to conventional area based pixel selection.
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