Exploiting Superpixels for Multi-Focus Image Fusion [PDF]
Entropy, 2021 Multi-focus image fusion is the process of combining focused regions of two or more images to obtain a single all-in-focus image. It is an important research area because a fused image is of high quality and contains more details than the source images ...
Areeba Ilyas +3 more
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Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library [PDF]
Journal of Imaging, 2020 Image fusion is a process that integrates similar types of images collected from heterogeneous sources into one image in which the information is more definite and certain.
Rabia Zafar +2 more
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Conditional Random Field-Guided Multi-Focus Image Fusion [PDF]
Journal of Imaging, 2022 Multi-Focus image fusion is of great importance in order to cope with the limited Depth-of-Field of optical lenses. Since input images contain noise, multi-focus image fusion methods that support denoising are important.
Odysseas Bouzos +2 more
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Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain. [PDF]
PLoS ONE, 2018 Multi-focus image fusion is an effective approach to obtain the all-in-focus image. Focus detection is the key issue of multi-focus image fusion. Aiming at the shortcoming of spatial domain and transform domain algorithms for multi-focus image fusion, a ...
Hongmei Wang
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Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain [PDF]
Sensors, 2023 In this paper, a multi-focus image fusion algorithm via the distance-weighted regional energy and structure tensor in non-subsampled contourlet transform domain is introduced.
Ming Lv +5 more
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Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain [PDF]
Sensors, 2023 Multi-focus image fusion plays an important role in the application of computer vision. In the process of image fusion, there may be blurring and information loss, so it is our goal to obtain high-definition and information-rich fusion images.
Liangliang Li +3 more
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Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network [PDF]
Entropy, 2022 The methods based on the convolutional neural network have demonstrated its powerful information integration ability in image fusion. However, most of the existing methods based on neural networks are only applied to a part of the fusion process. In this
Xiaole Ma +3 more
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Multi-Focus Image Fusion Method Based on Multi-Scale Decomposition of Information Complementary [PDF]
Entropy, 2021 Multi-focus image fusion is an important method used to combine the focused parts from source multi-focus images into a single full-focus image. Currently, to address the problem of multi-focus image fusion, the key is on how to accurately detect the ...
Hui Wan +3 more
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Multi-focus image fusion dataset and algorithm test in real environment [PDF]
Frontiers in Neurorobotics, 2022 Shuaiqi Liu +12 more
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An optimized block-based intuitionistic fuzzy framework for multi-focus image fusion [PDF]
Frontiers in Artificial IntelligenceIntroductionMulti-focus image fusion aims to generate a single all-in-focus image by combining multiple images captured at different focal depths. However, accurately identifying focused and blurred regions remains challenging due to real-world focus ...
Ragavendirane M.S +3 more
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