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Multi Focus Image Fusion Using Conversion Neural Network

86,22 
86,22 
2025-07-31 86.2200 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Xiao Han
Leidėjas: Scholars' Press
Išleidimo metai: 2021
Knygos puslapių skaičius: 108
ISBN-10: 3639859715
ISBN-13: 9783639859713
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Mathematical foundations

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