Results 231 to 240 of about 1,507,774 (276)

Multi-focus image fusion using PCNN

Pattern Recognition, 2010
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Wang, Zhaobin, Ma, Yide, Gu, Jason
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Multi-image transformer for multi-focus image fusion

Signal Processing: Image Communication, 2023
Multi-Focus Image Fusion (MFIF) is an image enhancement task that fuses images in which different regions are in focus to achieve an all-in-focus image. In recent years, Generative Adversarial Networks (GANs)-based approaches have significantly improved the MFIF on Convolutional Neural Network (CNN) architectures.
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Wavelet based multi-focus image fusion

2009 Proceeding of International Conference on Methods and Models in Computer Science (ICM2CS), 2009
Image 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.
A. Malviya, S.G. Bhirud
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Multi-focus image fusion based on L1 image transform

Multimedia Tools and Applications, 2020
In this paper, a new multi-focus image fusion algorithm based on L1 image transform is proposed. A distinctive advantage of the proposed algorithm is that an edge-preserving image decomposition (EPID) framework is constructed by introducing a L1-norm based image transform, which can not only effectively preserve and sharpen salient edges and ridges ...
Shuang Yu, Xiongfei Li, Mingrui Ma, Xiaoli Zhang, Shiping Chen   +4 more
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Multi-focus Image Fusion with Cooperative Image Multiscale Decomposition

2021
Multi-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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Compressive Sensing Multi-focus Image Fusion

2014
Based on the compressive sensing theory (CS), various compressive imaging (CI) systems have been developed. Meanwhile, image fusion methods that directly perform on the measurements from multiple CI sensors are also investigated in literatures. In this paper, we presented a multi-focus image fusion method in compressive sensing domain.
Fang Cheng, Bin Yang, Zhiwei Huang
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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, Hajime Nagahara, Ken’ichi Morooka, Yuta Nakashima, Yuki Uranishi, Shoko Miyauchi, Ryo Kurazume   +6 more
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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, 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
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Multi-focus image fusion for enhancing fiber microscopic images

Textile Research Journal, 2012
Accurate measurement and identification of fibers using magnified digital images relies mainly on the quality of the fiber image. At a given power of magnification, a light microscope has a limited depth of field that may not cover the entire depth space of a fiber sample on the slide and thus disallows all fibers in the image from being well focused,
RongWu Wang, Bugao Xu, Peifeng Zeng, Xianmiao Zhang   +3 more
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Image registration model and algorithm for multi-focus images

Pattern Recognition Letters, 2017
A 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, Gang Dang, Yunshi Yao, Jia Liang   +3 more
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