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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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Shearlet transform based technique for image fusion using median fusion rule
Image fusion is a challenging research area which is useful in various image processing applications. Image fusion integrates information from...
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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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A new interval constructed belief rule base with rule reliability
The combination rule explosion problem of belief rule base (BRB) is a difficult problem to solve in complex systems and has attracted wide attention....
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Multiresolution approach on medical image fusion by modified local energy
Human and machine perception data that are not redundant are very important in medical field for diagnosis and treatment. Existing fusion methods...
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Infrared and visible image fusion based on FUDPCNN and gravitational force operator
Infrared and visible image fusion merges the salient details of an infrared and its respective visible image to create a formidable image more...
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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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Infrared and visible image fusion based on VPDE model and VGG network
Infrared (IR) and visible (VIS) image fusion techniques are widely applied to many high-level vision tasks, such as object detection, recognition,...
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AQWT: adaptive quaternion wavelet transform and hybrid heuristic improvement for multi-modal medical image fusion model
In healthcare, a fusion of multi-modal medical images is very difficult and also an important work for the planning of surgical concepts and the...
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Performance evaluation of complex systems based on hierarchical evidential reasoning rule considering disturbances
To prevent adverse consequences for performance deterioration, it is of great importance to evaluate performance promptly and implement precautions...
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Multimodal medical volumetric image fusion using 3-D Shearlet transform and T-S fuzzy reasoning
Multimodal medical volumetric image fusion is a hot topic in medical image processing. Currently, most multi-scale based medical image fusion methods...
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Efficient fused convolution neural network (EFCNN) for feature level fusion of medical images
This paper proposes an Efficient Fused Convolution Neural Network (EFCNN) for feature-level fusion of medical images. The proposed network...
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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 joint convolution auto-encoder network for infrared and visible image fusion
Background: Leaning redundant and complementary relationships is a critical step in the human visual system. Inspired by the infrared cognition...
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PCGC: a performance compact graph compiler based on multilevel fusion-splitting rules
The existing deep learning compilers are unable to perform efficient hardware performance-related graph fusion when both time and power consumption...
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Infrared and visible image fusion based on quaternion wavelets transform and feature-level Copula model
To solve the problems that the correlation of multi-scale coefficients is ignored, as well as inaccurate identification of complementarity and...
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An online intrusion detection method for industrial control systems based on extended belief rule base
Intrusion detection in industrial control systems (ICS) is crucial for maintaining the security of physical information systems. However, the...
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Joint patch clustering-based adaptive dictionary and sparse representation for multi-modality image fusion
For the image fusion method using sparse representation, the adaptive dictionary and fusion rule have a great influence on the multi-modality image...
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An Updatable Classifier Diversity Measure Based on the ER Rule
In ensemble learning, accuracy and diversity among classifiers are the keys to good integration. However, most diversity measures only evaluate the...
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Quantum algorithm of Dempster rule of combination
Dempster rule of combination is a powerful combination tool. It has been widely used in many fields, such as information fusion and decision-making....
