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Multi Focus Image Fusion by Differential Evolution Algorithm
Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, 2014In 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
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Multi-focus Image Fusion with Cooperative Image Multiscale Decomposition
2021Multi-focus image fusion plays an important role in the field of image processing for its ability in solving the depth-of-focus limitation problem in optical lens imaging by fusing a series of partially focused images of the same scene. The improvements on various fusion methods focus on the image decomposition methods and the fusion strategies ...
Yueqi Tan, Bin Yang
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Multi-focus image fusion with Geometrical Sparse Representation
Signal Processing: Image Communication, 2021Abstract Multi-focus image fusion aims to generate an image with all objects in focus by integrating multiple partially focused images. It is challenging to find an effective focus measure to evaluate the clarity of source images. In this paper, a novel multi-focus image fusion algorithm based on Geometrical Sparse Representation (GSR) over single ...
Jin Tan +4 more
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Single fog image restoration with multi-focus image fusion
Journal of Visual Communication and Image Representation, 2018Abstract The images and videos captured in bad weather usually have low quality caused by reduced contrast and faded color. However, traditional techniques are not sufficient to solve the problems of halo artifacts and brightness distortion. In this paper, a multi-focus fusion method for single fog image restoration is proposed.
Yin Gao +3 more
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BFO-ICA based multi focus image fusion
2013 IEEE Symposium on Swarm Intelligence (SIS), 2013This paper presents a pixel based multi focus image fusion technique using independent component analysis (ICA) and bacteria foraging optimization (BFO) algorithm. The basic idea here is to obtain the ICA bases from a set of registered images and optimize them using BFO.
Sanjay Agrawal 0002 +2 more
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Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion
2019In this paper, we introduce a novel unsupervised deep learning (DL) method for multi-focus image fusion. Existing multi-focus image fusion (MFIF) methods based on DL treat MFIF as a classification problem with a massive amount of reference images to train networks.
Hafiz Tayyab Mustafa +4 more
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Depth-Distilled Multi-Focus Image Fusion
IEEE Transactions on Multimedia, 2023Fan Zhao 0005 +5 more
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Pattern Selective Image Fusion for Multi-focus Image Reconstruction
2005This 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
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CNNs hard voting for multi-focus image fusion
Journal of Ambient Intelligence and Humanized Computing, 2019The main idea of image fusion is gathering the necessary features and information into one image. The multi-focus image fusion process is gathering this information from the focused areas of many images and the ideal fused image have all focused part from the input images.
Mostafa Amin-Naji +2 more
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A Statistical Image Fusion Scheme for Multi Focus Applications
2006In this paper, we propose a statistical scheme to judge the activity level measurement (ALM) that is based on wavelet-domain hidden Markov model (WD-HMM) and maximum likelihood (MLK). The source images are firstly decomposed by the wavelets and only the coefficients in the high frequency (HH) are utilized.
Z. W. Liao +4 more
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