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Ensemble of CNN for multi-focus image fusion
Information Fusion, 2019Abstract The Convolutional Neural Networks (CNNs) based multi-focus image fusion methods have recently attracted enormous attention. They greatly enhanced the constructed decision map compared with the previous state of the art methods that have been done in the spatial and transform domains.
Mostafa Amin Naji +2 more
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Multi-focus image fusion with dense SIFT
Information Fusion, 2015Multi-focus image fusion technique is an important approach to obtain a composite image with all objects in focus. The key point of multi-focus image fusion is to develop an effective activity level measurement to evaluate the clarity of source images.
Yu Liu, Zengfu Wang
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Multi-focus image fusion techniques: a survey
Artificial Intelligence Review, 2021Multi-Focus Image Fusion (MFIF) is a method that combines two or more source images to obtain a single image which is focused, has improved quality and more information than the source images. Due to limited Depth-of-Field of the imagining system, extracting all the useful information from a single image is challenging.
Shiveta Bhat, Deepika Koundal
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Multi-image transformer for multi-focus image fusion
Signal Processing: Image Communication, 2023Multi-Focus Image Fusion (MFIF) is an image enhancement task that fuses images in which different regions are in focus to achieve an all-in-focus image. In recent years, Generative Adversarial Networks (GANs)-based approaches have significantly improved the MFIF on Convolutional Neural Network (CNN) architectures.
Levent Karacan
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Image matting for fusion of multi-focus images in dynamic scenes
Information Fusion, 2013In this paper, we address the problem of fusing multi-focus images in dynamic scenes. The proposed approach consists of three main steps: first, the focus information of each source image obtained by morphological filtering is used to get the rough segmentation result which is one of the inputs of image matting. Then, image matting technique is applied
Shutao Li, Xudong Kang, Jianwen Hu
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Evaluation of focus measures in multi-focus image fusion
Pattern Recognition Letters, 2007Several focus measures were studied in this paper as the measures of image clarity, in the field of multi-focus image fusion. All these focus measures are defined in the spatial domain and can be implemented in real-time fusion systems with fast response and robustness.
Zhongliang Jing
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Depth-Distilled Multi-Focus Image Fusion
IEEE Transactions on Multimedia, 2023Homogeneous regions, which are smooth areas that lack blur clues to discriminate if they are focused or non-focused. Therefore, they bring a great challenge to achieve high accurate multi-focus image fusion (MFIF). Fortunately, we observe that depth maps
Fan Zhao 0005 +5 more
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Multi-focus image fusion with a deep convolutional neural network
Information Fusion, 2017Yu Liu, Xun Chen, Hu Peng
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Multi-Focus Image Fusion Based on Multi-Scale Gradients and Image Matting
IEEE Transactions on Multimedia, 2022Multi-focus image fusion technology is to extract different focused regions of the same scene among partially focused images and merge them together to generate a composite image where all objects are clear. Two crucial points to multi-focus image fusion
Jun Chen, Xuejiao Li, Linbo Luo
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Information Fusion, 2021
Multi-focus image fusion is an enhancement method to generate full-clear images, which can address the depth-of-field limitation in imaging of optical lenses.
Hao Zhang +4 more
semanticscholar +1 more source
Multi-focus image fusion is an enhancement method to generate full-clear images, which can address the depth-of-field limitation in imaging of optical lenses.
Hao Zhang +4 more
semanticscholar +1 more source