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Multi-image transformer for multi-focus image fusion
Signal Processing: Image Communication, 2023 Multi-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, Karacan, Levent
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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.
Zeng-Fu Wang, Yu Liu
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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
Jianwen Hu, Shutao Li, Xudong Kang
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Multi-focus image fusion based on the neighbor distance
Pattern Recognition, 2013The effective measurement of pixel's sharpness is a key factor in multi-focus image fusion. In this paper, a gray image is considered as a two-dimensional surface, and the neighbor distance deduced from the oriented distance in differential geometry is used as a measure of pixel's sharpness, where the smooth image surface is restored by kernel ...
Yuan Yan Tang, Bin Fang
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ZMFF: Zero-shot multi-focus image fusion
Information Fusion, 2023Junjun Jiang, Xianming Liu, Jiayi Ma
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Multi-Focus Image Fusion of Digital Images
2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009Image fusion is the process by which two or more images are combined into a single image, retaining the important features from each of the original images. The goal of Image Fusion (IF) is to integrate complementary multi-sensor, multi-temporal and/or multi-view information into one new image, the quality of which cannot be achieved otherwise.
Anjali Malviya, S. G. Bhirud
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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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Spatial domain multi-focus image fusion
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image.
Ahmet Nusret Toprak, Veysel Aslantas
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Multi-focus image fusion with joint guided image filtering
Signal Processing: Image Communication, 2021Abstract Multi-focus image fusion is the activity of synthesizing multiple images of different focusing settings to construct a fully focused image. Many of the latest methods for image fusion rarely consider the structural differences between the guidance image and the input image, and do not retain well the important source image features while ...
Yongxin Zhang +3 more
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