Results 31 to 40 of about 53,412 (252)
Complex & Intelligent Systems, 2023 As for the problems of boundary blurring and information loss in the multi-focus image fusion method based on the generative decision maps, this paper proposes a new gradient-intensity joint proportional constraint generative adversarial network for ...
Junwu Li, Binhua Li, Yaoxi Jiang
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Generative Multi-Focus Image Fusion
CoRRMulti-focus image fusion aims to generate an all-in-focus image from a sequence of partially focused input images. Existing fusion algorithms generally assume that, for every spatial location in the scene, there is at least one input image in which that location is in focus.
Xinzhe Xie +6 more
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Multi‐focus image fusion evaluation based on jointly sparse representation and atom focus measure
IET Image Processing, 2021 Multi‐focus image fusion (MFIF) tries to combine images with different in‐focus regions and get a composite image that is in focus everywhere. Although many new MFIF algorithms based on various new representation models have been proposed in recent years,
Yanxiang Hu +3 more
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Multi-focus image fusion using multi-scale image decomposition and saliency detection
Ain Shams Engineering Journal, 2018 In this paper, we develop a new multi-focus image fusion method based on saliency detection and multi-scale image decomposition. Proposed method is very efficient, since the visual saliency explored in this algorithm is able to emphasize visually ...
Durga Prasad Bavirisetti, Ravindra Dhuli
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MF-SRGAN: A Super-Resolution Generative Adversarial Network for Multi-Focus Image Fusion [PDF]
International Journal of Mathematical, Engineering and Management SciencesIn computational imaging, multi-focus image fusion is a critical process that aims to produce a single image that covers all-in-focus areas from numerous partially focused input images.
Shatabdi Basu +2 more
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Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition
Frontiers in Neurorobotics, 2021 Most existing multi-focus color image fusion methods based on multi-scale decomposition consider three color components separately during fusion, which leads to inherent color structures change, and causes tonal distortion and blur in the fusion results.
Hui Wan +5 more
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Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
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Unsupervised Deep Multi-focus Image Fusion
CoRR, 2018 Convolutional neural networks have recently been used for multi-focus image fusion. However, due to the lack of labeled data for supervised training of such networks, existing methods have resorted to adding Gaussian blur in focused images to simulate defocus and generate synthetic training data with ground-truth for supervised learning. Moreover, they
Xiang Yan +3 more
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Multi-Scale Visual Attention Deep Convolutional Neural Network for Multi-Focus Image Fusion
IEEE Access, 2019 To realize the multi-focus image fusion task, an end-to-end deep convolutional neural network (DCNN) model that produces the final fused image directly from the source images is presented in this paper.
Rui Lai +3 more
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Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source