Journal ArticleDOI
Objective image fusion performance measure
Costas Xydeas,Vladimir Petrovic +1 more
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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.read more
Citations
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Journal ArticleDOI
Multi-focus image fusion based on robust principal component analysis and pulse-coupled neural network
TL;DR: Experimental results demonstrate that the superiority of the proposed scheme over existing methods and highlight the expediency and suitability ofThe proposed method.
Journal ArticleDOI
Joint image fusion and denoising via three-layer decomposition and sparse representation
TL;DR: Wang et al. as mentioned in this paper proposed an image fusion method based on three-layer decomposition and sparse representation, where the source image is first decomposed into the high-frequency and low-frequency components, and the sparse reconstruct error parameter is adaptively designed according with the noise level.
Book
Hyperspectral Image Fusion
Subhasis Chaudhuri,Ketan Kotwal +1 more
TL;DR: This monograph brings out recent advances in the research in the area of visualization of hyperspectral data and provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages.
Journal ArticleDOI
Benchmarking and comparing multi-exposure image fusion algorithms
TL;DR: A benchmark for multi-exposure image fusion (MEFB) is proposed which consists of a test set of 100 image pairs, a code library of 16 algorithms, 20 evaluation metrics, 1600 fused images and a software toolkit and it is expected that MEFB will serve as an effective platform for researchers to compare performances and investigate MEF algorithms.
Journal ArticleDOI
Image fusion based on generative adversarial network consistent with perception
TL;DR: A new method based on dense blocks and GANs is proposed, and it directly insert the input image-visible light image in each layer of the entire network, and has better visual effects in multiple sets of contrasts, which are more satisfying to human visual perception.
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
Vladimir Petrovic,Costas Xydeas +1 more
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.