Infrared and visible image fusion based on guided hybrid model and generative adversarial network
出版年份 2021 全文链接
标题
Infrared and visible image fusion based on guided hybrid model and generative adversarial network
作者
关键词
Image fusion, Latent low-rank representation, Feature extraction, Information enhancement, Generative adversarial network
出版物
INFRARED PHYSICS & TECHNOLOGY
Volume 120, Issue -, Pages 103914
出版商
Elsevier BV
发表日期
2021-10-29
DOI
10.1016/j.infrared.2021.103914
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion
- (2020) Hao Zhang et al. Information Fusion
- A Novel Infrared and Visible Image Information Fusion Method Based on Phase Congruency and Image Entropy
- (2019) Xinghua Huang et al. Entropy
- General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform
- (2018) Boyang Cheng et al. INFRARED PHYSICS & TECHNOLOGY
- Infrared and visible image fusion methods and applications: A survey
- (2018) Jiayi Ma et al. Information Fusion
- DenseFuse: A Fusion Approach to Infrared and Visible Images
- (2018) Hui Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- FusionGAN: A generative adversarial network for infrared and visible image fusion
- (2018) Jiayi Ma et al. Information Fusion
- Multi-focus image fusion with a deep convolutional neural network
- (2017) Yu Liu et al. Information Fusion
- Infrared and visible image fusion method based on saliency detection in sparse domain
- (2017) C.H. Liu et al. INFRARED PHYSICS & TECHNOLOGY
- Infrared and visible image fusion based on visual saliency map and weighted least square optimization
- (2017) Jinlei Ma et al. INFRARED PHYSICS & TECHNOLOGY
- Image Fusion With Convolutional Sparse Representation
- (2016) Yu Liu et al. IEEE SIGNAL PROCESSING LETTERS
- Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters
- (2016) Zhiqiang Zhou et al. Information Fusion
- Infrared and visible image fusion via gradient transfer and total variation minimization
- (2016) Jiayi Ma et al. Information Fusion
- An adaptive fusion approach for infrared and visible images based on NSCT and compressed sensing
- (2016) Qiong Zhang et al. INFRARED PHYSICS & TECHNOLOGY
- Two-scale image fusion of visible and infrared images using saliency detection
- (2016) Durga Prasad Bavirisetti et al. INFRARED PHYSICS & TECHNOLOGY
- Fusion method for infrared and visible images based on improved quantum theory model
- (2016) Weiwei Kong et al. NEUROCOMPUTING
- A general framework for image fusion based on multi-scale transform and sparse representation
- (2015) Yu Liu et al. Information Fusion
- A new contrast based multimodal medical image fusion framework
- (2015) Gaurav Bhatnagar et al. NEUROCOMPUTING
- A fusion method for visible and infrared images based on contrast pyramid with teaching learning based optimization
- (2014) Haiyan Jin et al. INFRARED PHYSICS & TECHNOLOGY
- Image Fusion With Guided Filtering
- (2013) Shutao Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Image fusion based on pixel significance using cross bilateral filter
- (2013) B. K. Shreyamsha Kumar Signal Image and Video Processing
- Performance comparison of different multi-resolution transforms for image fusion
- (2010) Shutao Li et al. Information Fusion
- Assessment of image fusion procedures using entropy, image quality, and multispectral classification
- (2008) Jan Van Aardt Journal of Applied Remote Sensing
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