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A Statistical Image Fusion Scheme for Multi Focus Applications
2006In this paper, we propose a statistical scheme to judge the activity level measurement (ALM) that is based on wavelet-domain hidden Markov model (WD-HMM) and maximum likelihood (MLK). The source images are firstly decomposed by the wavelets and only the coefficients in the high frequency (HH) are utilized.
Z. W. Liao +4 more
openaire +1 more source
Multi-focus Image Fusion with PCA Filters of PCANet
2019As is well known to all, the training of deep learning model is time consuming and complex. Therefore, in this paper, a very simple deep learning model called PCANet is used to extract image features from multi-focus images. First, we train the two-stage PCANet using ImageNet to get PCA filters which will be used to extract image features.
Xu Song, Xiao-Jun Wu 0001
openaire +2 more sources
Simulation of Multi-focus Image Acquisition
2022 International Conference on Mechanical and Electronics Engineering (ICMEE), 2022Yusong Cao +5 more
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Multi-focus image fusion: A Survey of the state of the art
Information Fusion, 2020Xun Chen, Juan Cheng, Yu Liu
exaly
Multi-Focus Image Fusion Based on Multi-Scale Gradients and Image Matting
IEEE Transactions on Multimedia, 2022Jun Chen, Jiayi Ma, Xuejiao Li
exaly
Multi-focus image fusion with deep residual learning and focus property detection
Information Fusion, 2022Xun Chen, Yu Liu, Huafeng Li
exaly
Boundary finding based multi-focus image fusion through multi-scale morphological focus-measure
Information Fusion, 2017Yu Zhang, Xiangzhi Bai
exaly
Multi-focus image fusion with a deep convolutional neural network
Information Fusion, 2017Xun Chen, Hu Peng, Zeng-Fu Wang
exaly
Evaluation of focus measures in multi-focus image fusion
Pattern Recognition Letters, 2007Zhongliang Jing
exaly