
Advances in Imaging and Electron Physics
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Content
- Front Cover
- Advances in Imaging and Electron Physics, Volume 111
- Copyright Page
- Contents
- Contributors
- Preface
- Forthcoming Contributors
- Chapter 1. Number Theoretic Transforms and their Applications in Image Processing S. BOUSSAKTA' AND A. G. J. HOLT
- I. Introduction
- II. Number Theoretic Transforms and Their Application to Convolutions
- III. Application of Two-dimensional Fermat Number Transforms to the Calculation of 2-D Convolutions
- IV. 2-D NTTs of Periodic Functions and Their Applications
- V. Another Family of Number Theoretic Transforms using the Mersenne Numbers (NMNTs)
- VI. Combination of 2-D NTTs Using the 2-D MRC Suitable for Parallel Image-Processing Applications
- VII. Hardware Implementations
- VIII. Conclusions
- References
- List of Abbreviations and Symbols
- Acknowledgments
- Chapter 2. On the Electron-Optical Properties of the ZrO/W Schottky Electron Emitter
- I. Introduction
- II. Electron Emission Theory
- III . Boersch Effect for Electron Emitters
- IV. Experimental Methods and Systems
- V. Experiments on ZrO/W Schottky Emitters
- VI. Applications to Other Emitters
- VII. Conclusions
- References
- Chapter 3. The Size of Objects in Natural and Artificial Images
- I. Introduction
- II. Statistics of Natural Images: A Review
- III . Sizes of Sections in Natural Images
- IV. Size of Sections and the BV Norm of Natural Images
- V. The Dead Leaves Model
- VI. A Short Review of Texture Synthesis by Mathematical Methods
- VII. Some Principles for the Synthesis of Abstract Natural Images
- VIII. Appendix: Matheron's Dead Leaves Model
- References
- Acknowledgements
- Chapter 4. Reconstruction of Nuclear Magnetic Resonance Imaging Data from Non-Cartesian Grids
- I. Introduction
- II. Gridding Reconstruction and Direct Reconstruction
- III. Natural k-Plane Coordinate Systems
- IV. Integrating Curve Band-pass Operators
- V. Curve Band-pass Operator Point-Spread Functions
- VI. Direct Reconstruction Using Natural k-Plane Coordinates
- VII. Conclusion
- References
- Chapter 5. An Integrated Approach to Computational Vision
- I. Introduction
- II. Review of the Edge-Strength Function
- III. Geometry of the Edge-Strength Function
- IV. Extraction and Representation of Perceptual Information
- V. Shape Skeleton and Shape Segmentation (2-D Case)
- VI. Coloring Nested Symmetries in Higher Dimensions
- Abstract
- References
- Index
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