Journal ArticleDOI
Multi-focus image fusion with a deep convolutional neural network
TLDR
A new multi-focus image fusion method is primarily proposed, aiming to learn a direct mapping between source images and focus map, using a deep convolutional neural network trained by high-quality image patches and their blurred versions to encode the mapping.About:
This article is published in Information Fusion.The article was published on 2017-07-01. It has received 826 citations till now. The article focuses on the topics: Image fusion & Convolutional neural network.read more
Citations
More filters
Journal ArticleDOI
FusionGAN: A generative adversarial network for infrared and visible image fusion
TL;DR: This paper proposes a novel method to fuse two types of information using a generative adversarial network, termed as FusionGAN, which establishes an adversarial game between a generator and a discriminator, where the generator aims to generate a fused image with major infrared intensities together with additional visible gradients.
Journal ArticleDOI
Infrared and visible image fusion methods and applications: A survey
TL;DR: This survey comprehensively survey the existing methods and applications for the fusion of infrared and visible images, which can serve as a reference for researchers inrared and visible image fusion and related fields.
Journal ArticleDOI
DenseFuse: A Fusion Approach to Infrared and Visible Images
Hui Li,Xiaojun Wu +1 more
TL;DR: A novel deep learning architecture for infrared and visible images fusion problems is presented, where the encoding network is combined with convolutional layers, a fusion layer, and dense block in which the output of each layer is connected to every other layer.
Journal ArticleDOI
IFCNN: A general image fusion framework based on convolutional neural network
TL;DR: The experimental results show that the proposed model demonstrates better generalization ability than the existing image fusion models for fusing various types of images, such as multi-focus, infrared-visual, multi-modal medical and multi-exposure images.
Journal ArticleDOI
Deep learning for pixel-level image fusion: Recent advances and future prospects
TL;DR: This survey paper presents a systematic review of the DL-based pixel-level image fusion literature, summarized the main difficulties that exist in conventional image fusion research and discussed the advantages that DL can offer to address each of these problems.
References
More filters
Journal ArticleDOI
Image Fusion Using Higher Order Singular Value Decomposition
TL;DR: A novel higher order singular value decomposition (HOSVD)-based image fusion algorithm that picks out informative image patches of source images to constitute the fused image by processing the divided subtensors rather than the whole tensor.
Journal ArticleDOI
Image fusion with morphological component analysis
TL;DR: According to the visual perceptions and objective evaluations on the fused results, the proposed multi-component fusion method for multi-source images can produce better fused images in the authors' experiments, compared with other single- component fusion methods.
Journal ArticleDOI
Multi-focus image fusion based on the neighbor distance
TL;DR: In this paper, a gray image is considered as a two-dimensional surface, and the neighbor distance deduced from the oriented distance in differential geometry is used as a measure of pixel's sharpness, where the smooth image surface is restored by kernel regression.
Proceedings ArticleDOI
A novel similarity based quality metric for image fusion
TL;DR: A new objective non-reference quality metric for the performance of pixel level image fusion is proposed that employs a luminance model that is widely used in visual psychophysics and a new contrast model which correlates better with human visual sensitivity to calculate the similarity between fused image and the sources.
Journal ArticleDOI
Image Fusion Algorithm Based on Spatia Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain: Image Fusion Algorithm Based on Spatia Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain
Related Papers (5)
A general framework for image fusion based on multi-scale transform and sparse representation
Yu Liu,Shuping Liu,Zengfu Wang +2 more