Results 21 to 30 of about 53,412 (252)
Multi-focus Image Fusion: A Benchmark
CoRR, 2020 Multi-focus image fusion (MFIF) has attracted considerable interests due to its numerous applications. While much progress has been made in recent years with efforts on developing various MFIF algorithms, some issues significantly hinder the fair and comprehensive performance comparison of MFIF methods, such as the lack of large-scale test set and the ...
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Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion
IEEE Photonics Journal, 2019 To address the problem that the traditional multi-focus images fusion methods cannot fully use of spatial context information. A novel image segmentation method for multi-focus image fusion is proposed.
Jingchun Zhou +4 more
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A Geometric Dictionary Learning Based Approach for Fluorescence Spectroscopy Image Fusion
Applied Sciences, 2017 In recent years, sparse representation approaches have been integrated into multi-focus image fusion methods. The fused images of sparse-representation-based image fusion methods show great performance.
Zhiqin Zhu +3 more
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Multi-focus image fusion for visual sensor networks [PDF]
2016 24th Iranian Conference on Electrical Engineering (ICEE), 2016 5 ...
Milad Abdollahzadeh +2 more
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Pseudo‐Siamese residual atrous pyramid network for multi‐focus image fusion
IET Image Processing, 2021 Depth of field is one of the critical reasons to limit the richness of image information. Usually, in a scene with multiple targets, when the distance between each target and the lens is different, the clear scene image can be get within a certain ...
Limai Jiang +3 more
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Multi-focus image fusion using maximum symmetric surround saliency detection
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2016 In digital photography, two or more objects of a scene cannot be focused at the same time. If we focus one object, we may lose information about other objects and vice versa.
Durga Prasad Bavirisetti, Ravindra Dhuli
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Multi-Focus Image Fusion Based on Residual Network in Non-Subsampled Shearlet Domain
IEEE Access, 2019 In order to obtain a panoramic image which is clearer, and has more layers and texture features, we propose an innovative multi-focus image fusion algorithm by combining with non-subsampled shearlet transform (NSST) and residual network (ResNet).
Shuaiqi Liu +5 more
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A Survey of Multi-Focus Image Fusion Methods
Applied Sciences, 2022 As an important branch in the field of image fusion, the multi-focus image fusion technique can effectively solve the problem of optical lens depth of field, making two or more partially focused images fuse into a fully focused image.
Youyong Zhou +9 more
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CFNet: Context fusion network for multi‐focus images [PDF]
IET Image Processing, 2021 Abstract Multi‐focus image fusion aims to generate a clear image by fusing multiple source images. Existing deep learning‐based fusion methods often neglect the context information resulting in the loss of detail information. To address this issue, a context fusion network to merge multi‐focus images, namely CFNet, is proposed ...
Kang Zhang +3 more
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Future Internet, 2016 The multi-focus image fusion method is used in image processing to generate all-focus images that have large depth of field (DOF) based on original multi-focus images.
Zhiqin Zhu +3 more
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