Sparse-Dirac Super-Resolution (S-Dirac SR) for High-Resolution Transmission Electron Microscopy Techniques: Advances in Imaging and Electron Physics, cartea 240
Martin Hÿtchen Limba Engleză Hardback – oct 2026
This volume focuses on the development and applications of the Sparse-Dirac super-resolution (S-Dirac SR) method for high-resolution transmission electron microscopy (HRTEM). Chapters present the historical context and motivations behind the method, followed by discussions of its physical principles, mathematical framework, and algorithmic implementation. Additional sections compare the S-Dirac approach with other state-of-the-art techniques and explore its practical applications in high-resolution electron microscopy. The volume concludes with perspectives on future developments and potential directions in super-resolution imaging methods.
- Provides an in-depth exploration of the Sparse-Dirac super-resolution (S-Dirac SR) method for high-resolution transmission electron microscopy
- Presents the physical principles, mathematical frameworks, and algorithmic implementation of a modern super-resolution imaging technique
- Includes comparisons with other state-of-the-art imaging and reconstruction approaches
- Explores practical applications of super-resolution methods in advanced electron microscopy
- Serves as a valuable reference for researchers in imaging science, electron microscopy, and computational imaging
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Specificații
ISBN-13: 9780443471148
ISBN-10: 0443471142
Pagini: 258
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Seria Advances in Imaging and Electron Physics
ISBN-10: 0443471142
Pagini: 258
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Seria Advances in Imaging and Electron Physics
Cuprins
1. Introduction: Goals and Historical Context
2. Physical Basis of the S-Dirac Super-Resolution Method
3. Mathematical Framework of the S-Dirac Super-Resolution Method
4. The S-Dirac Super-Resolution Algorithm Step by Step
5. The S-Dirac Super-Resolution Method versus Complementary State-of-the-Art Techniques
6. Applications of the S-Dirac Super-Resolution Method
7. Conclusion and Perspectives
2. Physical Basis of the S-Dirac Super-Resolution Method
3. Mathematical Framework of the S-Dirac Super-Resolution Method
4. The S-Dirac Super-Resolution Algorithm Step by Step
5. The S-Dirac Super-Resolution Method versus Complementary State-of-the-Art Techniques
6. Applications of the S-Dirac Super-Resolution Method
7. Conclusion and Perspectives