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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

Video fusion performance evaluation based on structural similarity and human visual perception

TL;DR: Several sets of experimental results demonstrate that the proposed metric can evaluate different video fusion algorithms accurately, and the evaluation results coincide with the subjective results well.
Dissertation

Information Fusion for Improved Motion Estimation

TL;DR: This thesis proposes and demonstrates that Information Fusion strategies may also be applied to combine the results of different Motion Estimation techniques in order to give more robust, more accurate and more timely motion estimates than are provided by any of the individual techniques alone.
Book ChapterDOI

Structural Similarity Based Anatomical and Functional Brain Imaging Fusion.

TL;DR: In this article, an end-to-end unsupervised learning based Convolutional Neural Network (CNN) was proposed for fusing the high and low frequency components of MRI-PET grayscale image pairs publicly available at ADNI by exploiting Structural Similarity Index (SSIM) as the loss function during training.
Journal ArticleDOI

A novel hybrid image fusion method based on integer lifting wavelet and discrete cosine transformer for visual sensor networks

TL;DR: An efficient hybrid image fusion method which is suitable for VSNs based on the integer lifting wavelet transform (ILWT) and the discrete cosine transformer (DCT) and which overcomes the loss of information, computational complexity, time and energy consumption and memory space.
Journal ArticleDOI

Theoretical analysis of Tsallis entropy-based quality measure for weighted averaging image fusion

TL;DR: It is demonstrated that the Tsallis-based quality measure violates the desired behaviors regarding the response to variation of signal-to-noise ratio and effect of entropy order on the measured quality sign.
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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