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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

Multi-focus image fusion using sharpness criteria for visual sensor networks in wavelet domain

TL;DR: The proposed method remarkably reduces the amount of distortion artifacts and contrast loss due to the fact that variance and spatial frequency-based fusion significantly enhances reliability in feature selection and data fusion procedures.
Proceedings ArticleDOI

An overview of image fusion metrics

TL;DR: The applications and restrictions of performance evaluation metrics such as statistics feature related, information theory related, correlation information entropy, information deviation and etc are discussed.
Journal ArticleDOI

Fusion of Medical Sensors Using Adaptive Cloud Model in Local Laplacian Pyramid Domain

TL;DR: Experiments show that the proposed LLP+ACM significantly improves detail information with high contrast and reduces the color distortion of the fused images in both subjective and objective evaluations.
Journal ArticleDOI

A variational method for multisource remote-sensing image fusion

TL;DR: In this paper, a pixel-based variational model for image fusion using gradient features is proposed, where the fused image should have a gradient that is close to the most salient gradient in the multisource inputs.
Proceedings ArticleDOI

Multi-focus image fusion in DCT domain based on correlation coefficient

TL;DR: An efficient, new and simple method is proposed for multi-focus image fusion which is based on correlation coefficient calculation in the discrete cosine transform (DCT) domain which shows that the output image quality is better than that of the previous methods.
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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