VIF-Net: An unsupervised framework for infrared and visible image fusion
Visible images provide abundant texture details and environmental information, while
infrared images benefit from night-time visibility and suppression of highly dynamic regions; …
infrared images benefit from night-time visibility and suppression of highly dynamic regions; …
A human perception inspired quality metric for image fusion based on regional information
H Chen, PK Varshney - Information fusion, 2007 - Elsevier
Comparative evaluation of fused images is a critical step to evaluate the relative
performance of different image fusion algorithms. Human visual inspection is often used to …
performance of different image fusion algorithms. Human visual inspection is often used to …
Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model
The aim of medical image fusion is to improve the clinical diagnosis accuracy, so the fused
image is generated by preserving salient features and details of the source images. This …
image is generated by preserving salient features and details of the source images. This …
Objective image fusion performance characterisation
V Petrovic, C Xydeas - … on Computer Vision (ICCV'05) Volume …, 2005 - ieeexplore.ieee.org
Image fusion as a way of combining multiple image signals into a single fused image has in
recent years been extensively researched for a variety of multisensor applications. Choosing …
recent years been extensively researched for a variety of multisensor applications. Choosing …
Subjective tests for image fusion evaluation and objective metric validation
V Petrović - Information fusion, 2007 - Elsevier
This paper focuses on the methodology for perceptual image fusion assessment through
comparative tests and validation of objective fusion evaluation metrics. Initially, the theory of …
comparative tests and validation of objective fusion evaluation metrics. Initially, the theory of …
The application of wavelet transform to multi-modality medical image fusion
A Wang, H Sun, Y Guan - 2006 IEEE International Conference …, 2006 - ieeexplore.ieee.org
Medical image fusion has been used to derive useful information from multimodality medical
image data. The idea is to improve the image content by fusing images like computer …
image data. The idea is to improve the image content by fusing images like computer …
Multifocus image fusion using the log-Gabor transform and a multisize windows technique
Today, multiresolution (MR) transforms are a widespread tool for image fusion. They
decorrelate the image into several scaled and oriented sub-bands, which are usually …
decorrelate the image into several scaled and oriented sub-bands, which are usually …
Siamese networks and multi-scale local extrema scheme for multimodal brain medical image fusion
Multimodal medical image fusion is an auxiliary approach to help doctors diagnose
diseases accurately leveraging information enhancement technology. Up to now, none of …
diseases accurately leveraging information enhancement technology. Up to now, none of …
A multi-scale information integration framework for infrared and visible image fusion
Infrared and visible image fusion aims at generating a fused image containing the intensity
and detail information of source images, and the key issue is effectively measuring and …
and detail information of source images, and the key issue is effectively measuring and …
CMFA_Net: A cross-modal feature aggregation network for infrared-visible image fusion
Infrared and visible image fusion is a typical cross-modal information enhancement
technology, which aims to fetch the complementary cues from different sensors to …
technology, which aims to fetch the complementary cues from different sensors to …