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Deep Learning-Based Multi-Focus Image Fusion: A Survey and a Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Multi-focus image fusion (MFIF) is an important area in image processing. Since 2017, deep learning has been introduced to the field of MFIF and various methods have been proposed.
Xingchen Zhang
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Multi-focus image fusion: A Survey of the state of the art
Information Fusion, 2020Multi-focus image fusion is an effective technique to extend the depth-of-field of optical lenses by creating an all-in-focus image from a set of partially focused images of the same scene.
Yu Liu, Juan Cheng, Xun Chen
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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 with deep residual learning and focus property detection
Information Fusion, 2022Yu Liu, Huafeng Li, Xun Chen
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IEEE Transactions on Image Processing, 2023
The limited depth of field of optical lenses, makes multi-focus image fusion (MFIF) algorithms of vital importance. Lately, Convolutional Neural Networks (CNN) have been widely adopted in MFIF methods, however their predictions mostly lack structure and ...
Odysseas Bouzos +2 more
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The limited depth of field of optical lenses, makes multi-focus image fusion (MFIF) algorithms of vital importance. Lately, Convolutional Neural Networks (CNN) have been widely adopted in MFIF methods, however their predictions mostly lack structure and ...
Odysseas Bouzos +2 more
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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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Image registration model and algorithm for multi-focus images
Pattern Recognition Letters, 2017A model and an algorithm are proposed for multi-focus image registration.The model contains only one parameter, which has explicit physical meaning.They improve the registration accuracy and are better than the widely used method.Factors affecting image registration error are analyzed, and suggestions are given.
Xiaohua Xia +3 more
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DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion
IEEE Transactions on Image Processing, 2020In this paper, a novel deep network is proposed for multi-focus image fusion, named Deep Regression Pair Learning (DRPL). In contrast to existing deep fusion methods which divide the input image into small patches and apply a classifier to judge whether ...
Jinxing Li +6 more
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Fusion of multi-focus images with registration inaccuracies
Signal, Image and Video Processing, 2016Image fusion combines complementary information for several input images. To obtain useful information from two misaligned images, registration is required. A hybrid textural registration-based multi-focus image fusion scheme is proposed. The Gabor filtering with specific frequency and orientation is used to extract different texture features from the ...
Attiq Ahmad +5 more
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