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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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639859713
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Etat : 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. N° de réf. du vendeur 513869070
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639859713
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783639859713
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Taschenbuch. Etat : 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. N° de réf. du vendeur 120653311
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