Results 41 to 50 of about 312,519 (176)
Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
, 2017 Among the representation learning, the low-rank representation (LRR) is one of the hot research topics in many fields, especially in image processing and pattern recognition.
Li, Hui, Wu, Xiao-Jun
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Efficient Compressive Multi-Focus Image Fusion
Journal of Computer and Communications, 2014 Two key points of pixel-level multi-focus image fusion are the clarity measure and the pixel coeffi- cients fusion rule. Along with different improvements on these two points, various fusion schemes have been proposed in literatures. However, the traditional clarity measures are not designed for compressive imaging measurements which are maps of ...
Chao Yang, Bin Yang
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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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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 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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Encouraging LSTMs to Anticipate Actions Very Early [PDF]
, 2017 In contrast to the widely studied problem of recognizing an action given a complete sequence, action anticipation aims to identify the action from only partially available videos.
Aliakbarian, Mohammad Sadegh +5 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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ICNet for Real-Time Semantic Segmentation on High-Resolution Images
, 2018 We focus on the challenging task of real-time semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing a large portion of computation for pixel-wise label inference.
C Liu +8 more
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Human mobility monitoring in very low resolution visual sensor network [PDF]
, 2014 This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Aghajan, Hamid +13 more
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Journal of Intelligent Systems, 2019 Multi-focus image fusion means fusing a completely clear image with a set of images of the same scene and under the same imaging conditions with different focus points.
Chen Wei-bin +4 more
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