Journal ArticleDOI
Objective image fusion performance measure
Costas Xydeas,Vladimir Petrovic +1 more
Reads0
Chats0
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
More filters
Journal ArticleDOI
CNNs hard voting for multi-focus image fusion
TL;DR: The proposed convolution neural networks based on ensemble learning for multi-focus image fusion have the cleanest initial decision map and the best quality of the output fused image compared to the other state of the art methods.
Journal ArticleDOI
Regularized super-resolution image reconstruction employing robust error norms
TL;DR: The proposed TTV, LTV, and HTV methods are directly compared with a former SR method that employs the L1-norm in the data-fidelity term for synthesized and real sequences of frames, and results verify the robust statistics theory.
Proceedings ArticleDOI
Multimodal image fusion via sparse representation and clustering-based dictionary learning algorithm in NonSubsampled Contourlet domain
TL;DR: The experimental results demonstrate effectiveness of the proposed dictionary learning algorithm and priority of general framework, in terms of both subjective and objective evaluation for image fusion task.
Journal ArticleDOI
Multi-focus image fusion using fractal dimension.
TL;DR: A translation-invariant multi-focus image fusion approach using the à-trous wavelet transform is introduced, which uses fractal dimension as a clarity measure for the approximation coefficients and Otsu's threshold to fuse the detail coefficients.
Journal ArticleDOI
Infrared and visual image fusion based on multi-scale feature decomposition
Huibin Yan,Zhongmin Li +1 more
TL;DR: A novel IR and VI image fusion method based on multi-scale feature decomposition (MSFD), which separates image features more effectively and demonstrates the advantages of the proposed method over other compared methods in term of visual observation and evaluation metrics.
References
More filters
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.