Synopsis
In real life, the effect of taking pictures is some times unsatisfactory, so it is necessities to fuse the distinct regions of different focus targets in the same scene to obtain the global clear image, which is called multi focus image fusion. The traditional image fusion algorithm has the problems of complex model design and poor fusion image quality, while the dee P learning technology uses neural network for image feature learning, which has fast training and strong functionality. Before, this paper uses conventional neural network to optimize the problems existing in the multi focus image fusion algorithm.
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Multi Focus Image Fusion Using Conversion Neural Network
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In real life, the effect of taking pictures is some times unsatisfactory, so it is necessities to fuse the distinct regions of different focus targets in the same scene to obtain the global clear image, which is called multi focus image fusion. The traditional image fusion algorithm has the problems of complex model design and poor fusion image quality, while the dee P learning technology uses neural network for image feature learning, which has fast training and strong functionality. Before, this paper uses conventional neural network to optimize the problems existing in the multi focus image fusion algorithm. 108 pp. Englisch. Seller Inventory # 9783639859713
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Han XiaoDr. Xiao Han, School of computer science, Jiangsu University of Science and TechnologyIn real life, the effect of taking pictures is some times unsatisfactory, so it is necessities to fuse the distinct regions of differen. Seller Inventory # 513869070
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Multi Focus Image Fusion Using Conversion Neural Network
Published by
Scholars' Press Sep 2021, 2021
ISBN 10: 3639859715
ISBN 13: 9783639859713
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In real life, the effect of taking pictures is some times unsatisfactory, so it is necessities to fuse the distinct regions of different focus targets in the same scene to obtain the global clear image, which is called multi focus image fusion. The traditional image fusion algorithm has the problems of complex model design and poor fusion image quality, while the dee P learning technology uses neural network for image feature learning, which has fast training and strong functionality. Before, this paper uses conventional neural network to optimize the problems existing in the multi focus image fusion algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Seller Inventory # 9783639859713
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In real life, the effect of taking pictures is some times unsatisfactory, so it is necessities to fuse the distinct regions of different focus targets in the same scene to obtain the global clear image, which is called multi focus image fusion. The traditional image fusion algorithm has the problems of complex model design and poor fusion image quality, while the dee P learning technology uses neural network for image feature learning, which has fast training and strong functionality. Before, this paper uses conventional neural network to optimize the problems existing in the multi focus image fusion algorithm. Seller Inventory # 9783639859713
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Taschenbuch. Condition: Neu. Multi Focus Image Fusion Using Conversion Neural Network | Xiao Han | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9783639859713 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 120653311
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