Machine Learning for Underwater Hazy Image : Deep Learning Techniques

Language: English

Published by LAP LAMBERT Academic Publishing, 2021

6203869473 / 9786203869477

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Image performance in underwater robots is one of the most challenging problems for autonomous underwater robotics due to light transmission in water. Although image restoration techniques can effectively remove a haze from a damaged image, they require multiple images from the same location making it difficult to use in real time. Considering the positive effects of in-depth learning strategies on other image processing problems such as coloring or finding objects, a deeper learning solution is proposed. The convolutional neural network is trained in image retrieval techniques to capture one image better than other image enhancement techniques. The proposed method is capable of producing high quality image restoration images with a single image as input. The neural network is verified using images from various locations and signals to prove the power of normal action.

Seller Inventory # 9786203869477

Title
Machine Learning for Underwater Hazy Image : Deep Learning Techniques
Author
Ajay Soni
Publisher
LAP LAMBERT Academic Publishing
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6203869473
ISBN 13
9786203869477
Item weight
125 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.41US$ 35.41
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