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
Fusión de Imágenes Multi-Foco con Ventanas Variables
TL;DR: In this article, el Algoritmo Combinacion Lineal of Imagenes with Ventanas Variables (CLI-VVV) was presented for the fusion of imagenes multi-foco.
Journal ArticleDOI
Integrated MPCAM: Multi-PSF learning for large depth-of-field computational imaging
TL;DR: In this paper , a multi-PSF camera system was proposed to realize both large depth-of-field (DoF) and high SNR (signal-noise-ratio) imaging.
Proceedings ArticleDOI
A New Scheme of Medical Image Fusion Using Deep Convolutional Neural Network and Local Energy Pixel Domain
TL;DR: In this article, a new multimodal medical image fusion method based on deep convolutional neural networks (CNN) and local spatial domain modification is proposed, where the source image is fed to Siamese CNN to obtain the weight map and then processed by the Weighted Sum of Eight neighbourhood-based Modified Laplacian (WSEML) to obtain a new image-based WSEML.
Journal ArticleDOI
Infrared and visible image fusion using salient decomposition based ona generative adversarial network
TL;DR: It is demonstrated that the proposed method using a local non-subsampled shearlet transform (LNSST) based on a generative adversarial network (GAN) is able to achieve better performance than the state of the art on preserving both texture details and thermal information.
Journal ArticleDOI
A Target-Aware Fusion Framework for Infrared and Visible Images
TL;DR: Zhang et al. as mentioned in this paper proposed a target-aware fusion method via a globalet filter and detail enhancement model to obtain an image that can retain the prominent infrared target and the detailed texture information from the source images.
References
More filters
Proceedings Article
ImageNet Classification with Deep Convolutional Neural Networks
TL;DR: The state-of-the-art performance of CNNs was achieved by Deep Convolutional Neural Networks (DCNNs) as discussed by the authors, which consists of five convolutional layers, some of which are followed by max-pooling layers, and three fully-connected layers with a final 1000-way softmax.
Journal ArticleDOI
Gradient-based learning applied to document recognition
Yann LeCun,Léon Bottou,Léon Bottou,Yoshua Bengio,Yoshua Bengio,Yoshua Bengio,Patrick Haffner +6 more
TL;DR: In this article, a graph transformer network (GTN) is proposed for handwritten character recognition, which can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters.
Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Proceedings ArticleDOI
Fully convolutional networks for semantic segmentation
TL;DR: The key insight is to build “fully convolutional” networks that take input of arbitrary size and produce correspondingly-sized output with efficient inference and learning.
Proceedings Article
Rectified Linear Units Improve Restricted Boltzmann Machines
Vinod Nair,Geoffrey E. Hinton +1 more
TL;DR: Restricted Boltzmann machines were developed using binary stochastic hidden units that learn features that are better for object recognition on the NORB dataset and face verification on the Labeled Faces in the Wild dataset.
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