To solve this problem, we propose a method of multi-focus image fusion scheme that is different from current image fusion scheme even on the ground. For this purpose, we use GFF-SIFT method which is combination of GFF (Guided Filtering based Fusion) and SIFT (Scale Invariant Feature ...
Multi-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 ...
Zhang X (2021) Deep learning-based multi-focus image fusion: a survey and a comparative study. IEEE Trans Pattern Anal Mach Intell 1-1:2021 Google Scholar Zhang H, Xu H, Tian X et al. (2021) Image fusion meets deep learning: a survey and perspective, information fusion, 76: 323–...
@article{Tang2022Survey, title={Deep learning-based image fusion: A survey}, author={Tang, Linfeng and Zhang, Hao and Xu, Han and Ma, Jiayi}, journal={Journal of Image and Graphics} volume={28}, number={1}, pages={3--36}, year={2023} } ...
This paper proposes a method based on multi-dictionary linear sparse representation and region fusion model for achieving high-quality multi-focus image fusion (MFIF). First, a multi-dictionary linear sparse representation model (MDLSR) is proposed for focus detection of source images, in which th...
《Multi-focus image fusion with a deep convolutional neural network》论文笔记 Abstract 图像融合有两个关键的步骤,一个是特征提取一个是融合规则。通过学习一个神经网络模型可以生成联合生成特征提取和融合规则这两部分。网络训练数据是高分辨图像块和对应的模糊处理。
A Novel Algorithm of Multi-focus Image Fusion Using Adaptive PCNN一种自适应PCNN多聚焦图像融合新方法 The proposed new fusion algorithm is based on the improved Pulse Coupled Neural network(PCNN) model, the fundamental characteristics of multi-focus images ... Miao Qiguang,Wang Baoshu,苗启广,... ...
From this point of view, the meaning of studying multi-focus image fusion is twofold, which makes it an active topic in image processing community. In recent years, various image fusion methods have been proposed, and these methods can be roughly classified into two categories [1]: transform ...
The results obtained by the proposed method are more stable and systematic than those of the other fusion methods in terms of the objective evaluation metrics. 4. Conclusions In this work, we presented a multi-focus image fusion method applied to a large quantity of conjunctival microscopic ...
Pixel-level image fusion: A survey of the state of the art. Inf. Fusion 2017, 33, 100–112. [Google Scholar] [CrossRef] Nie, T.; Huang, L.; Liu, H.; Xiansheng Li, X. Multi-exposure fusion of gray images under low illumination based on low-rank decomposition. Remote Sens. 2021...