Machine Learning for Underwater Hazy Image: Deep Learning Techniques

Patel, Aditya; Singh, Nidhi; Soni, Ajay

ISBN 10: 6203869473 / ISBN 13: 9786203869477

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

Seller Inventory # 26397306496

Bibliographic Details

• Title: Machine Learning for Underwater Hazy Image: Deep Learning Techniques
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6203869473
• ISBN 13: 9786203869477
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.