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Mastering Image Dehazing
Paperback

Mastering Image Dehazing

$63.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

"Mastering Image Dehazing: Techniques and Algorithms in AI" explores advanced techniques in image dehazing, focusing on improving visual clarity for applications like aerial photography, surveillance, and remote sensing. It introduces innovative approaches such as Globally Guided Image Filtering (G-GIF) and deep learning models, offering solutions for single-image dehazing. With practical implementation in MATLAB and a focus on perceptual fog density, it presents significant advancements in recovering fine details and enhancing image quality. Aimed at researchers and professionals, this work serves as a concise guide to mastering modern dehazing methods.

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MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
16 January 2025
Pages
68
ISBN
9786208423865

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

"Mastering Image Dehazing: Techniques and Algorithms in AI" explores advanced techniques in image dehazing, focusing on improving visual clarity for applications like aerial photography, surveillance, and remote sensing. It introduces innovative approaches such as Globally Guided Image Filtering (G-GIF) and deep learning models, offering solutions for single-image dehazing. With practical implementation in MATLAB and a focus on perceptual fog density, it presents significant advancements in recovering fine details and enhancing image quality. Aimed at researchers and professionals, this work serves as a concise guide to mastering modern dehazing methods.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
16 January 2025
Pages
68
ISBN
9786208423865