Image Processing Techniques for Deformed and Sparse Aperture Systems - Abdallah Mohamed Hamed
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Piegāde 15-21 darba dienu laikā
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This book examines advanced image processing techniques for deformed and sparse aperture systems. Building on the author’s recent research, this book is designed for graduate students and researchers in optical sciences and optical engineering. The book begins with a unique investigation into aperture shapes inspired by coronavirus (COVID-19) imagery, followed by an analysis of cardiac-shaped apertures and ... Pilns apraksts
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Aprašymas
This book examines advanced image processing techniques for deformed and sparse aperture systems. Building on the author’s recent research, this book is designed for graduate students and researchers in optical sciences and optical engineering.
The book begins with a unique investigation into aperture shapes inspired by coronavirus (COVID-19) imagery, followed by an analysis of cardiac-shaped apertures and their integration into confocal laser systems. Subsequent chapters look at the design and resolution analysis of heterogeneous apertures, including cascaded black-linear and linear-conic configurations, as well as hexagonal geometries.
The book also introduces the Straubel filter within circular apertures and its impact on confocal imaging performance. Later chapters revisit the coronavirus model in optical contexts and explore triangular aperture models applied to speckle photography. The final chapter presents a comprehensive study of Modulated Sparse Aperture Imaging Systems (MSAIS) and their effectiveness in enhancing speckle image quality.
With a blend of theoretical modeling, practical design, and application-driven insights, this book offers a valuable contribution to the evolving field of computational optics and aperture engineering.
Vairāk informācijas
| Autors | Abdallah Mohamed Hamed |
|---|---|
| Izdevējs | Springer-Verlag GmbH |
| Series | SpringerBriefs in Applied Sciences and Technology |
| Izlaides gads | 2025 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783032049209 |