Results 261 to 270 of about 12,417,327 (306)

Novel Cooperative Neural Fusion Algorithms for Image Restoration and Image Fusion

IEEE Transactions on Image Processing, 2007
To deal with the problem of restoring degraded images with non-Gaussian noise, this paper proposes a novel cooperative neural fusion regularization (CNFR) algorithm for image restoration. Compared with conventional regularization algorithms for image restoration, the proposed CNFR algorithm can relax need of the optimal regularization parameter to be ...
Youshen Xia, Mohamed S. Kamel
openaire   +3 more sources

An image restoration by fusion

Pattern Recognition, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Variational image fusion

2018
Das Hauptziel dieser Arbeit ist die Fusion mehrerer Bilder zu einem Einzelbild, das mehr Informationen bietet als die einzelnen Eingangsbilder. Wir verwirklichen diese Fusionsaufgaben in einem variationellen Rahmen. Zunächst präsentieren wir iterative Schemata, die sich gut für solche variationellen Probleme und verwandte Aufgaben eignen.
openaire   +2 more sources

Image fusion using a multi-level image decomposition and fusion method

Applied Optics, 2021
In recent years, image fusion has emerged as an important research field due to its various applications. Images acquired by different sensors have significant differences in feature representation due to the different imaging principles. Taking visible and infrared image fusion as an example, visible images contain abundant texture details with high ...
Yu, Tian, Wenjing, Yang, Ji, Wang
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Image Fusion

2019
Image fusion encloses all data analysis strategies aiming at combining the information of several images obtained with the same platform or by different spectroscopic platforms. Image fusion can imply building a single multiset or multiway structure with all images involved or connecting the related individual images through regression models.
de Juan, Anna, Gowen, Aoife, Duponchel, Ludovic, Ruckebusch, Cyril   +3 more
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POP Image Fusion -- Derivative Domain Image Fusion without Reintegration

2015 IEEE International Conference on Computer Vision (ICCV), 2015
There are many applications where multiple images are fused to form a single summary greyscale or colour output, including computational photography (e.g. RGB-NIR), diffusion tensor imaging (medical), and remote sensing. Often, and intuitively, image fusion is carried out in the derivative domain.
Graham D. Finlayson, Alex E. Hayes
openaire   +2 more sources

Image fusion with IKONOS images

SPIE Proceedings, 2003
The techniques for fusion of satellite images with different spatial resolutions aims to enhance the image quality, that allows a better visual interpretation. Ideally, the resulting image must keep the spectral resolution, leading to a more precise image segmentation and classification. Many different methods have been proposed to perform image fusion
Mario J. Schneider, Olga R. Pereira Bellon, Hideo Araki   +2 more
openaire   +1 more source

Image fusion meets deep learning: A survey and perspective

Information Fusion, 2021
Hao Zhang, Junjun Jiang, Han Xu
exaly  

Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network

Information Fusion, 2022
Jiayi Ma, Linfeng Tang, Jiteng Yuan
exaly  

SGFusion: A saliency guided deep-learning framework for pixel-level image fusion

Information Fusion, 2023
Renwei Dian, Shutao Li, Haibo Liu
exaly