1 option
Fourier optics and computational imaging / Kedar Khare.
- Format:
- Book
- Author/Creator:
- Khare, Kedar, author.
- Series:
- Ane/Athena Bks
- Language:
- English
- Subjects (All):
- Fourier transform optics.
- Image processing--Mathematics.
- Image processing.
- Physical Description:
- 1 online resource (249 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Chichester, West Sussex, England : John Wiley & Sons, Ltd., 2016.
- Summary:
- This book covers both the mathematics of inverse problems and optical systems design, and includes a review of the mathematical methods and Fourier optics. The first part of the book deals with the mathematical tools in detail with minimal assumption about prior knowledge on the part of the reader. The second part of the book discusses concepts in optics, particularly propagation of optical waves and coherence properties of optical fields that form the basis of the computational models used for image recovery. The third part provides a discussion of specific imaging systems that illustrate the power of the hybrid computational imaging model in enhancing imaging performance. A number of exercises are provided for readers to develop further understanding of computational imaging. While the focus of the book is largely on optical imaging systems, the key concepts are discussed in a fairly general manner so as to provide useful background for understanding the mechanisms of a diverse range of imaging modalities.
- Contents:
- Intro
- Table of Contents
- Title
- Copyright
- Preface
- 1. Introduction
- 1.1 Organization of the book
- Part 1: Mathematical preliminaries
- 2. Fourier series and transform
- 2.1 Fourier Series
- 2.2 Gibbs phenomenon
- 2.3 Fourier transform as a limiting case of Fourier series
- 2.4 Sampling by averaging, distributions and delta function
- 2.5 Properties of delta function
- 2.6 Fourier transform of unit step and sign functions
- 2.7 Fourier transform of a train of delta functions
- 2.8 Fourier transform of a Gaussian
- 2.9 Fourier transform of chirp phase
- 2.10 Properties of Fourier transform
- 2.11 Fourier transform of the 2D circ function
- 2.12 Fourier slice theorem
- 2.13 Wigner distribution
- 3. Sampling Theorem
- 3.1 Poisson summation formula
- 3.2 Sampling theorem as a special case
- 3.3 Additional notes on the sampling formula
- 3.4 Sampling of carrier-frequency signals
- 3.5 Degrees of freedom in a signal: space bandwidth product
- 3.6 Slepian (prolate spheroidal) functions
- 3.7 Extrapolation of bandlimited functions
- 4. Operational introduction to Fast Fourier Transform
- 4.1 Definition
- 4.2 Usage of 2D Fast Fourier Transform for problems in Optics
- 5. Linear systems formalism and introduction to inverse problems in imaging
- 5.1 Space-invariant impulse response
- 5.2 Ill-posedness of inverse problems
- 5.3 Inverse filter
- 5.4 Wiener filter
- 6. Constrained optimization methods for image recovery
- 6.1 Image denoising
- 6.2 Image de-convolution by optimization
- 6.3 Blind image deconvolution
- 6.4 Compressive Imaging
- 6.5 Topics for further study
- 7. Random processes
- 7.1 Probability and random variables
- 7.2 Random Processes
- Part 2: Concepts in optics
- 8. Geometrical Optics Essentials
- 8.1 Ray transfer matrix
- 8.2 Stops and pupils.
- 9. Wave equation and introduction to diffraction of light
- 9.1 Introduction
- 9.2 Review of Maxwell equations
- 9.3 Integral theorem of Helmholtz and Kirchhoff
- 9.4 Diffraction from a planar screen
- 10. The angular spectrum method
- 10.1 Angular spectrum method
- 11. Fresnel and Fraunhoffer diffraction
- 11.1 Fresnel diffraction
- 12. Coherence of light fields
- 12.1 Spatial and temporal coherence
- 12.2 van Cittert and Zernike theorem
- 12.3 Space-frequency representation of the coherence function
- 12.4 Intensity interferometry: Hanbury Brown and Twiss effect
- 12.5 Photon counting formula
- 12.6 Speckle phenomenon
- 13. Polarization of light
- 13.1 The Jones matrix formalism
- 13.2 The QHQ geometric phase shifter
- 13.3 Degree of polarization
- 14. Analysis of optical systems
- 14.1 Transmission function for a thin lens
- 14.2 Fourier transforming property of thin lens
- 14.3 Canonical optical processor
- 14.4 Fourier plane filter examples
- 14.5 Frequency response of optical imaging systems: coherent and incoherent illumination
- 15. Imaging from information point of view
- 15.1 Eigenmodes of a canonical imaging system
- Part 3: Selected computational imaging systems
- 16. Digital Holography
- 16.1 Sampling considerations for recording of digital holograms
- 16.2 Complex field retrieval in hologram plane
- 16.3 Digital holographic microscopy
- 16.4 Summary
- 17. Phase retrieval from intensity measurements
- 17.1 Gerchberg Saxton algorithm
- 17.2 Fienup's hybrid input-output algorithm
- 17.3 Phase retrieval with multiple intensity measurements
- 17.4 Gerchberg-Papoulis method for bandlimited extrapolation
- 18. Compact multi-lens imaging systems
- 18.1 Compact form factor computational camera
- 18.2 Lightfield cameras
- 19. PSF Engineering
- 19.1 Cubic phase mask
- 19.2 Log-asphere lens.
- 19.3 Rotating point spread functions
- 20. Structural illumination imaging
- 20.1 Forward model and image reconstruction
- 21. Image reconstruction from projection data
- 21.1 X-ray projection data
- 21.2 Image reconstruction from projection data
- 22. Ghost Imaging
- 22.1 Schematic of a ghost imaging system
- 22.2 A signal processing viewpoint of ghost imaging
- 23. Appendix: Suggested Excercises
- Index
- End User License Agreement.
- Notes:
- Includes index.
- Description based on online resource; title from PDF title page (ebrary, viewed December 15, 2016).
- ISBN:
- 1-118-90036-7
- 1-118-90037-5
- 1-118-90035-9
- OCLC:
- 923137984
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.