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Global-Feature Encoding U-Net (GEU-Net) for Multi-Focus Image Fusion

IEEE Transactions on Image Processing, 2020
The convolutional neural network (CNN)-based multi-focus image fusion methods which learn the focus map from the source images have greatly enhanced fusion performance compared with the traditional methods.
Bin Xiao   +3 more
semanticscholar   +1 more source

3D Image Reconstruction from Multi-focus Microscopic Images

2020
This paper presents a method for reconstructing 3D image from multi-focus microscopic images captured with different focuses. We model the multi-focus imaging by a microscopy and produce the 3D image of a target object based on the model. The 3D image reconstruction is done by minimizing the difference between the observed images and the simulated ...
Takahiro Yamaguchi   +6 more
openaire   +1 more source

Multi Focus Image Fusion by Differential Evolution Algorithm

Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, 2014
In applications of imaging system one of the major problems is the limited depth of field which disallow to obtain all-in-focus image. However, microscopic and photographic applications desire to have all-in-focus images. One of the most popular ways to obtain all-in-focus images is the multi focus image fusion.
TOPRAK, Ahmet Nusret, ASLANTAŞ, Veysel
openaire   +2 more sources

FuseGAN: Learning to Fuse Multi-Focus Image via Conditional Generative Adversarial Network

IEEE transactions on multimedia, 2019
We study the problem of multi-focus image fusion, where the key challenge is detecting the focused regions accurately among multiple partially focused source images. Inspired by the conditional generative adversarial network (cGAN) to image-to-image task,
Xiaopeng Guo   +5 more
semanticscholar   +1 more source

Quality estimation based multi-focus image fusion

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In this work, a quality estimation based multi-focus image fusion method (QEBIF) is proposed. In this method, the all-in-focus image is generated by pixel-wise summarizing the multi-focus images with their estimated focus levels as weights. Since the visual quality of an image is highly correlated with its focus level, the visual quality is estimated ...
Jingwei Guan, Wai-Kuen Cham
openaire   +1 more source

A multi-focus image fusion algorithm in 5G communications

Multimedia Tools and Applications, 2018
In this paper, we first build a mobile cloud platform that users can upload multi-focus images or download full-focus images through the 5G network. Then we design a method named Region Mosaicking on Contrast Pyramid (RMCP) for image fusion on the cloud platform.
Jianguo Sun   +7 more
openaire   +1 more source

Pattern Selective Image Fusion for Multi-focus Image Reconstruction

2005
This paper presents a method for fusing multiple images of a static scene and shows how to apply the proposed method to extend depth of field. Pattern selective image fusion provides a mechanism for combining multiple monochromatic images through identifying salient features in the source images and combining those features in to a single fused image ...
Vivek Maik, Jeongho Shin, Joon Ki Paik
openaire   +1 more source

Zero-Shot Multi-Focus Image Fusion

2021 IEEE International Conference on Multimedia and Expo (ICME), 2021
Xingyu Hu   +3 more
openaire   +1 more source

Combining transformers with CNN for multi-focus image fusion

Expert systems with applications, 2023
Zhao Duan, Xiaoliu Luo, Taiping Zhang
semanticscholar   +1 more source

FusionDiff: Multi-focus image fusion using denoising diffusion probabilistic models

Expert systems with applications, 2023
Mining Li   +4 more
semanticscholar   +1 more source

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