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Multi-image fusion: optimal decomposition strategy with heuristic-assisted non-subsampled shearlet transform for multimodal image fusion
Image fusion is significant in various distinct sectors of image processing, from remote sensing to medical applications. In recent years,...
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A multi-weight fusion framework for infrared and visible image fusion
Infrared and visible image fusion (IVF) aims to generate a fused image with important thermal target and texture information from infrared and...
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Mutli-focus image fusion based on guided filter and image matting network
The problem of limited depth-of-field is one of the major disadvantages in optical imaging devices, whereas multifocus image fusion(MFIF), as an...
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An efficient Dense-Resnet for multimodal image fusion using medical image
Nowadays, the visual content of various medical images is increased through multimodal image fusion to gather more information from medical images....
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Multi-modal remote sensing image fusion method guided by local extremum maps-guided image filter
This paper proposes a multi-modal fusion algorithm for image filtering based on the guidance of local extrema maps. The image is subjected to a...
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Optimized pixel level image fusion for lung cancer detection over MRI and pet image
Lung cancer is an abnormal development of cells that are uncontrollably proliferating. When using a system for medical diagnostics, the precise...
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A Novel Fusion Strategy and Convolutional Sparse Coding for Robot Multisource Image Fusion
AbstractImage fusion refers to the fusion of images collected by multiple sensors about the same target or scene into one image by image processing...
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A survey of multi-source image fusion
Multi-source image fusion has become an important and useful new technology in the image understanding and computer vision fields. The purpose of...
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Image dehazing algorithm based on artificial multi-exposure image fusion
Bad weather conditions such as fog, haze, etc. reduce the visibility level of the images captured in those weather conditions. Degradation of...
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PTIFNet: Pseudo-Twin network for multi-focus image fusion
In this paper, we propose a multi-focus image fusion network based on the classical pseudo-twin two-branch network, called PTIFNet, which can...
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SimpliFusion: a simplified infrared and visible image fusion network
This paper introduces SimpliFusion, a network designed for the fusion of infrared and visible images, leveraging a simplified transformer...
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Large capacity generative image steganography via image style transfer and feature-wise deep fusion
Compared with modification-based steganography, the coverless steganography models have stronger anti-detection performance. However, the limitations...
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SpFusionNet: deep learning-driven brain image fusion with spatial frequency analysis
In the domain of multi-focus (MF) and multi-model image fusion (MMIF), accurately merging focused regions from various images remains a challenge....
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Image-text fusion transformer network for sarcasm detection
Sarcasm is a sophisticated method to convey ideas. Usually, the literal meaning of a sarcasm message is the opposite of its true intent. The...
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A Systematic Literature Review on Multimodal Medical Image Fusion
Medical image fusion is a relevant area with widespread application in disease diagnosis and prediction with easily available image scans of Computed...
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Multi-focus image fusion using curvature minimization and morphological filtering
Multi-focus image fusion has wide applications in the field of computer vision. This research work presents a two-fold multi-focus image fusion...
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Multi-focus image fusion algorithm based on region detection and ACS network
To address the problems of artifacts and information residuals in existing multi-focus image fusion algorithms, this paper proposes a multi-focus...
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Recent advances via convolutional sparse representation model for pixel-level image fusion
Image fusion aims to integrate complementary information from different source images into the final output image. This plays a significant role in...
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Attention based dual UNET network for infrared and visible image fusion
How to accurately extract the effective information and profile features of source images has been a difficult problem in the domain of infrared and...
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A new multi-focus image fusion quality assessment method with convolutional sparse representation
Assessing image fusion quality purposefully is a challenging task due to the diversities of fused features. In this work, a specific multi-focus...
