Results 11 to 20 of about 12,653,288 (308)
, 2011 Image fusion technology has successfully contributed to various fields such as medical diagnosis and navigation, surveillance systems, remote sensing, digital cameras, military applications, computer vision, etc.
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2022 IEEE International Conference on Image Processing (ICIP), 2022 Accepted at ICIP ...
Vibashan VS +3 more
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BMC Oral Health, 2022 Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and ...
Lei-Hao Hu +5 more
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Multi-resolution, multi-sensor image fusion: general fusion framework [PDF]
, 2011 Multi-resolution image fusion also known as pansharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g.
Palubinskas, Gintautas +3 more
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Real-Time Semantics-Driven Infrared and Visible Image Fusion Network
Sensors, 2023 This paper proposes a real-time semantics-driven infrared and visible image fusion framework (RSDFusion). A novel semantics-driven image fusion strategy is introduced in image fusion to maximize the retention of significant information of the source ...
Binhao Zheng +4 more
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A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion
Diagnostics, 2023 Today, medical images play a crucial role in obtaining relevant medical information for clinical purposes. However, the quality of medical images must be analyzed and improved.
Manoj Diwakar +3 more
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Region-based multimodal image fusion using ICA bases [PDF]
, 2006 In this paper, we present a novel multimodal image fusion algorithm in the independent component analysis (ICA) domain. Region-based fusion of ICA coefficients is implemented, where segmentation is performed in the spatial domain and ICA coefficients ...
Cvejic, N +6 more
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Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]
, 2007 This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Loza, AT +7 more
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Digital Image Progressive Fusion Method Based on Discrete Cosine Transform
Journal of Mathematics, 2023 The current progressive fusion methods for digital images have poor denoising performance, which leads to a decrease in image quality after progressive fusion.
Jiezi Chen
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