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Visible-infrared image patch matching based on attention mechanism
Image matching has a wide range of applications in computer vision. Existing image matching is mostly used for homologous images. In the matching of...
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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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Infrared image super-resolution reconstruction based on residual fast fourier transform
Infrared images have been widely used in military, civilian, and industrial fields. Due to the inherent limitations of sensors, infrared images...
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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 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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Infrared Image Super-Resolution via GAN
The ability of generative models to accurately fit data distributions has resulted in their widespread adoption and success in fields such as...
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A survey on infrared image & video sets
In this survey, we compile a list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers. We...
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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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SIE: infrared and visible image fusion based on scene information embedding
In this article, we proposed an infrared and visible image fusion method based on scene information embedding, which is to obtain an fused image with...
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Multitarget Detection Algorithm of UHV Line Fitting Infrared Image Based on YOLOv5
AbstractGansu section of Qishao UHV DC line accounts for 52.4% of the total line length, and manual inspection is time consuming and laborious. This...
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Infrared image super-resolution method based on dual-branch deep neural network
Infrared image has lower resolution, lower contrast, and less detail than visible image, which causes its super-resolution (SR) more difficult than...
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Few-Shot Infrared Image Classification with Partial Concept Feature
Few infrared image samples will bring a catastrophic blow to the recognition performance of the model. Existing few-shot learning methods most...
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LKFormer: large kernel transformer for infrared image super-resolution
Given the broad application of infrared technology across diverse fields, there is an increasing emphasis on investigating super-resolution...
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Infrared and visible image fusion via gradientlet filter and salience-combined map
In this study, we innovatively propose salience-combined map and gradientlet filter for infrared and visible image fusion. It can enhance the...
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Multi-level optimal fusion algorithm for infrared and visible image
Image fusion technology has been widely used in analyzing fusion effect under various settings. This paper proposed the image fusion method suitable...
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A multi-scale mixed convolutional network for infrared image super-resolution reconstruction
Infrared image is widely used in military, medical, monitoring security and other fields. Due to the limitation of hardware devices, infrared image...
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Speed Matters, a robust infrared and visible image matching method at real-time speed
Image matching is a crucial step in executing many complex visual tasks, which involve identifying the same or similar visual patterns across various...
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A Deep Learning Framework for Infrared and Visible Image Fusion Without Strict Registration
In recent years, although significant progress has been made in infrared and visible image fusion, existing methods typically assume that the source...
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Superpixel-based adaptive salient region analysis for infrared and visible image fusion
Infrared and visible image fusion aims to highlight the infrared target and preserve valuable texture details as much as possible. However, the...
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Infrared image enhancement algorithm based on detail enhancement guided image filtering
Because of the unique imaging mechanism of infrared (IR) sensors, IR images commonly suffer from blurred edge details, low contrast, and poor...
