Results 231 to 240 of about 19,201,385 (283)

Insomnia Increases Susceptibility to Sciatica: Evidence from Mendelian Randomization and Integrative Genetic Analyses. [PDF]

J Pain Res
Li S, Chen X, Cen H, Chen H, Lu Y.
europepmc   +1 more source

TEA-LWNet: a lightweight multispectral feature enhancement network based on RGB-NIR fusion for detection of tea leaf diseases and pests. [PDF]

Front Plant Sci
Wang Z, Wang F, Lin H.
europepmc   +1 more source

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.
Levent Karacan, Karacan, Levent
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Multi-focus image fusion with dense SIFT

Information Fusion, 2015
Multi-focus image fusion technique is an important approach to obtain a composite image with all objects in focus. The key point of multi-focus image fusion is to develop an effective activity level measurement to evaluate the clarity of source images.
Zeng-Fu Wang, Yu Liu
exaly   +3 more sources

Image matting for fusion of multi-focus images in dynamic scenes

Information Fusion, 2013
In this paper, we address the problem of fusing multi-focus images in dynamic scenes. The proposed approach consists of three main steps: first, the focus information of each source image obtained by morphological filtering is used to get the rough segmentation result which is one of the inputs of image matting. Then, image matting technique is applied
Jianwen Hu, Shutao Li, Xudong Kang
exaly   +2 more sources

ZMFF: Zero-shot multi-focus image fusion

Information Fusion, 2023
Junjun Jiang, Xianming Liu, Jiayi Ma
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Multi-focus image fusion techniques: a survey

Artificial Intelligence Review, 2021
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 a single image is challenging.
Shiveta Bhat, Deepika Koundal
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Multi-Focus Image Fusion of Digital Images

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 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.
Anjali Malviya, S. G. Bhirud
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Spatial domain multi-focus image fusion

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
One 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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A lightweight scheme for multi-focus image fusion

Multimedia Tools and Applications, 2018
The aim of multi-focus image fusion is to fuse the images taken from the same scene with different focuses so that we can obtain a resultant image with all objects in focus. However, the most existing techniques in many cases cannot gain good fusion performance and acceptable complexity simultaneously.
Xin Jin 0005, Jingyu Hou 0001, Rencan Nie, Shaowen Yao 0001, Dongming Zhou, Qian Jiang, Kangjian He   +6 more
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