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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

Medical image fusion based on nuclear norm minimization

TL;DR: Experimental results show that the proposed medical image fusion method is superior to other methods in both subjectively visual performance and objective criteria.
Journal ArticleDOI

Fusion of medical images based on salient features extraction by PSO optimized fuzzy logic in NSST domain

TL;DR: Experiments on fusion of grayscale, color and ultrasound multimodal medical images show that the proposed image fusion algorithm based on visual salience detection has advantages on retention of image salient features.
Journal ArticleDOI

Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging

TL;DR: Improved guided image fusion for magnetic resonance and computed tomography imaging and different modifications in filter and weight maps (with different levels) are proposed to overcome limitations of existing guided filtering scheme.
Journal ArticleDOI

Multimodal image seamless fusion

TL;DR: Experiments were conducted on several pairs of multimodal images to verify the effectiveness and superiority of the proposed image fusion algorithm compared to the state-of-the-art methods.
Proceedings ArticleDOI

Image fusion of the Terahertz-visual NAECON Grand Challenge data

TL;DR: It is found that THz image characterization did not necessarily follow a distinct Gaussian distribution, THz imagery fusion with visual data supported target detection, and that image analysis enhanced target assessment.
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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