A survey of infrared and visual image fusion methods
Infrared (IR) and visual (VI) image fusion is designed to fuse multiple source images into a
comprehensive image to boost imaging quality and reduce redundancy information, which is …
comprehensive image to boost imaging quality and reduce redundancy information, which is …
Fractal dimension based parameter adaptive dual channel PCNN for multi-focus image fusion
Multi-focus image fusion combines the focused parts of multiple images of the same scene
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …
to generate a fully focused image. Dual Channel Pulse coupled neural network (DCPCNN) …
An overview of PCNN model's development and its application in image processing
Z Yang, J Lian, Y Guo, S Li, D Wang, W Sun… - … Methods in Engineering, 2019 - Springer
In this paper, recent pulse coupled neural networks (PCNN) model's development,
especially in the fields related to the image processing, were surveyed. Our review aims to …
especially in the fields related to the image processing, were surveyed. Our review aims to …
Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space
Computational imaging plays an important role in medical treatment for providing more
comprehensive medical images. This work proposes a new scheme to fuse computed …
comprehensive medical images. This work proposes a new scheme to fuse computed …
Infrared and visual image fusion method based on discrete cosine transform and local spatial frequency in discrete stationary wavelet transform domain
In order to promote the performance of infrared and visual image fusion and provide better
visual effects, this paper proposes a hybrid fusion method for infrared and visual image by …
visual effects, this paper proposes a hybrid fusion method for infrared and visual image by …
Non‐subsampled shearlet transform based MRI and PET brain image fusion using simplified pulse coupled neural network and weight local features in YIQ colour …
Magnetic resonance imaging (MRI) and positron emission tomography (PET) image fusion
is a recent hybrid modality used in several oncology applications. The MRI image shows the …
is a recent hybrid modality used in several oncology applications. The MRI image shows the …
Multi-focus: Focused region finding and multi-scale transform for image fusion
The purpose of image fusion is to integrate useful information from multiple images and
produce a more reliable image. The key problem of multi-focus image fusion is how to …
produce a more reliable image. The key problem of multi-focus image fusion is how to …
Multi-focus image fusion method using S-PCNN optimized by particle swarm optimization
This paper proposed a novel image fusion method based on simplified pulse-coupled
neural network (S-PCNN), particle swarm optimization (PSO) and block image processing …
neural network (S-PCNN), particle swarm optimization (PSO) and block image processing …
Infrared and visible image fusion based on target extraction in the nonsubsampled contourlet transform domain
A fusion algorithm based on target extraction for infrared image (IIR) and visible image
fusion in the nonsubsampled contourlet transform (NSCT) domain is proposed. Commonly …
fusion in the nonsubsampled contourlet transform (NSCT) domain is proposed. Commonly …
Multi-focus image fusion combining focus-region-level partition and pulse-coupled neural network
Abstract Multi-scale transforms (MST)-based methods are popular for multi-focus image
fusion recently because of the superior performances, such as the fused image containing …
fusion recently because of the superior performances, such as the fused image containing …