Book Details
Format
Hardcover
Pages
268
Language
English
Published
Dec 15, 2017
Publisher
Springer
ISBN-10
981107271X
ISBN-13
9789811072710
Description
Aparna Vyas, Soohwan Yu, and Joonki Paik present a comprehensive exploration into image processing through the lens of multiscale transforms. The authors skillfully navigate the complexities of how these transforms can enhance the interpretation and analysis of visual data. They build a solid foundation, discussing fundamental principles before delving into more intricate methodologies.
The narrative is enriched with practical applications, allowing readers to grasp not only theoretical concepts but also their real-world implications. With clear illustrations and detailed explanations, the book serves as a valuable resource for both students and professionals seeking to deepen their understanding of image processing techniques.
Throughout, the authors emphasize the versatility of multiscale transforms, demonstrating their effectiveness across various domains. Readers will find themselves equipped with the knowledge to tackle contemporary challenges in image processing, making this work an essential addition to the literature on the subject.
The narrative is enriched with practical applications, allowing readers to grasp not only theoretical concepts but also their real-world implications. With clear illustrations and detailed explanations, the book serves as a valuable resource for both students and professionals seeking to deepen their understanding of image processing techniques.
Throughout, the authors emphasize the versatility of multiscale transforms, demonstrating their effectiveness across various domains. Readers will find themselves equipped with the knowledge to tackle contemporary challenges in image processing, making this work an essential addition to the literature on the subject.