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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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Proceedings ArticleDOI

FIR filters for hardware-based real-time multi-band image blending

TL;DR: A real-time FPGA implementation of the blending algorithm, using 2D non-separable systolic filtering scheme, that does not require hardware multipliers and it is able to achieve very high operating frequencies.
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A novel multi-modal fundus image fusion method for guiding the laser surgery of central serous chorioretinopathy.

TL;DR: In this article, a fundus image fusion method in non-sub sampled contourlet transform (NSCT) domain, aiming to integrate the multi-modal CSCR information, is proposed.
Journal ArticleDOI

Multi-Focus Image Fusion Based on Sparse Decomposition

TL;DR: Experimental results show that the proposed scheme can significantly inhibit the blocking artifacts compared to the other existing fusion methods in terms of some visual and objective evaluations.
Proceedings ArticleDOI

Determination of reconstruction parameters in Compressed Sensing MRI using BRISQUE score

TL;DR: A Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) score assessment for a typical MR reconstruction in a particular MRI machine which can predict a set of parameters best suited for MR reconstruction using a popular algorithm like NLCG is proposed.
Journal ArticleDOI

Medical image fusion based on enhanced three-layer image decomposition and Chameleon swarm algorithm

TL;DR: Wang et al. as mentioned in this paper proposed a new image synthesis method that allows efficient operation even when the input image is noisy or has low contrast, which significantly degrades the quality of the synthesized image.
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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