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洋書 | 技術書

Modeling the Optical and Visual Performance of the Human Eye
商品コード: 9780819492548

Modeling the Optical and Visual Performance of the Human Eye

販売価格(税込) 8,600 円
ポイント: 86 Pt
関連カテゴリ:

洋書 > 技術書

出版社別 > SPIE

個  数

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Pier Giorgio Gobbi
430 pages; Hardcover
2013/1/25
PM225

詳細

This book provides a faithful and robust simulation of the optical and visual performances of the human eye for axial vision of distant objects in a variety of visual conditions. The author moves from intrinsically theoretical aspects (the optical and neurophysical models of the eye) to include a great number of experimental measurements from the scientific literature, in order to adapt the model parameters to the observed phenomenology and validate the predictivity power of the models themselves. The results are very satisfactory in terms of quantitative and qualitative adherence of model predictions to field measurements.

Resulting from the author's investigations over the last decade, the book material is largely original, and the most relevant achievement can be found in the capacity to evaluate visual acuity for a range of visual conditions, such as variations in pupil size, refractive error, and ambient illumination.

Thanks to the general organization of the book, chapters and paragraphs with high level mathematical and physical optics content can be safely skipped without compromising the overall comprehension. To this end, a brief summary is provided at the end of each chapter, making this book appropriate for readers with greatly varying degrees of technical knowledge.

Sample Pages (PDF)

Part I Chromatic Aspherical Gullstrand Exact (CAGE) Eye Model for Imaging Purposes
Part IA Assessment of the Optical Parameters of the CAGE Eye Model
Introduction to Part IA
1 Schematic Eye Models and Foveal Image Measurements
 1.1 Review of Schematic Eye Models
 1.2 Foveal Image Measurements
 1.3 Campbell and Gubisch Experiment
 1.4 Chapter Summary
 References
2 Choice of Eye Models for Optical Evaluation
 2.1 Gullstrand Exact Eye Model
 2.2 Gullstrand Graded-Index Eye Model
 2.3 Aspherizing Interfaces
 2.4 Amplitude Spread Function (ASF)
 2.5 Chapter Summary
 References
3 Modeling Foveal Reflection
 3.1 Signature of Directionality
 3.2 Backward Pass ASF
 3.3 Foveal Curvature
 3.4 Chapter Summary
 References
4 Illumination: Coherence Features
 4.1 Spectral Coherence
 4.2 Spatial Coherence
  4.2.1 Lamp to source slit
  4.2.2 Source slit to retina
  4.2.3 Retina to aerial image
  4.2.4 Double-pass image
 4.3 Chapter Summary
 References
5 Monochromatic to broadband optical model
 5.1 Dispersion Relations
 5.2 Chromatic Model
  5.2.1 Chromatic ASF
  5.2.2 Partially coherent foveal image
  5.2.3 Chromatic double-pass image
 5.3 Chapter Summary
 References
6 Numerical Algorithms
 6.1 Ray Tracing
 6.2 Core Algorithm
 6.3 Chapter summary
 References
7 Convergence to the CAGE Eye Model
 7.1 Fitting of Campbell and Gubisch Line Spread Function (LSF) Data
 7.2 True Single-Pass LSF
 7.3 Comments on Surface Asphericities
 7.4 Chromatic Aspherical Gullstrand Exact (CAGE) Eye Model
 7.5 Chapter Summary
 7.6 Conclusion of Part IA
 References
Part IB Optical Performances of the CAGE Eye Model
Introduction to Part IB
8 CAGE Structural and Paraxial Properties
 8.1 Structural Features
  8.1.1 Corneal thickness
  8.1.2 Lens size
 8.2 Paraxial Optics
 8.3 Chromatic Paraxial Properties
 8.4 Chapter Summary
 References
9 CAGE Spherical Aberration
 9.1 Chapter Summary
 References
10 Imaging Characterization
 10.1 Point Spread Function, Modulation Transfer Function, and Line Spread Function
 10.2 Diffraction Limit
 10.3 Broadband Spectrum
 10.4 Strehl and Struve Ratios
 10.5 Stiles?Crawford Effect
 10.6 Numerical Algorithm
 10.7 Chapter Summary
 References
11 CAGE imaging performances
 11.1 Strehl Ratio
 11.2 Optimum Defocus
 11.3 Point Spread Function
 11.4 Struve Ratio and Line Spread Function
 11.5 Modulation Transfer Function
 11.6 Retinal Gain
 11.7 Chapter Summary
 References
12 Discussion of CAGE results
 12.1 Comparison with Psychophysical MTF Data
 12.2 Not So Bad After All
 12.3 Miscellaneous CAGE Results
 12.4 Chapter Summary
 12.5 Conclusion of Part IB
 References
Part II CAGE?Barten Eye Model for Contrast Perception
Part IIA Assessment of the CAGE?Barten Model Psychophysical Parameters
Introduction to Part IIA
13 Optics and psychophysics
 13.1 Chapter summary
 References
14 Neurophysical Model by Barten and its Development
 14.1 Total MTF
  14.1.1 Optical MTF
  14.1.2 Retinal MTF
  14.1.3 Neural MTF
 14.2 Ocular Internal Noise
  14.2.1 Photon Noise
  14.2.2 Neural Noise
  14.2.3 Integration Constraints
 14.3 Complete Model
 14.4 Chapter Summary
 References
15 Convergence to the CAGE?Barten model
 15.1 Experimental Contrast Sensitivity Function (CSF) database
 15.2 Pupil Light Response
 15.3 Numerical Fitting of CSF Data
 15.4 Data Alignment
 15.5 Chapter summary
 References
16 Application of the CAGE?Barten model to extended Contrast Sensitivity data
 16.1 Comparison with Data by van Nes and Bouman
 16.2 Comparison with Data by Luntinen, Rovamo, and Näsänen
 16.3 Comparison of Sinusoidal and Square-Wave Gratings
 16.4 Comparison with Defocused CSF Data
 16.5 Comparison with Barten’s Results
 16.6 Chapter Summary
 References
17 Comments on the CAGE?Barten Eye Model
 17.1 Discussion of CAGE?Barten Results
 17.2 Evaluation of Signal-to-Noise Ratio
 17.3 Parameter Variability
 17.4 Comparison with Other Visual Perception Models
 17.5 Chapter Summary
 17.6 Conclusion of Part IIA
 References
Part IIB Visual Performances of the CAGE?Barten Eye Model
Introduction to Part IIB
18 Characterization of Visual Performance
 18.1 Eye as a Photocamera
 18.2 Visual Performance Metrics
 18.3 Visual Performance Metrics and Image Quality Perception
 18.4 Bilogarithmic Integral of Normalized Contrast Sensitivity: A Visual Specific Metric
 18.5 Chapter Summary
 References
19 CAGE?Barten Eye Model visual Performances
 19.1 Reference Visual Condition
 19.2 Steady-state Pupil Light Response
 19.3 Natural Pupil Visual Performance
 19.4 Visual Performance versus Spherical Aberration
 19.5 Out-of-Focus Visual Performance
 19.6 Visual Performance versus Stimulus Parameters
 19.7 Monocular and Binocular Visual Performance
 19.8 Visual Performance versus Neurophysical Parameters
 19.9 Chapter summary
 References
20 Discussion of Visual Performance Results
 20.1 Previous Visual Acuity Modeling
 20.2 Visual Acuity
 20.3 Defocused Visual Acuity
 20.4 Mesopic Vision
 20.5 Photoreceptor Density
 20.6 Chapter Summary
 References
21 Quality of the Human Visual System
 21.1 Refractive Surgery: Optimum Corneal Shape
 21.2 Ultimate Visual Limit
 21.3 Effects of Aberrations on Ultimate Visual Limit
 21.4 Evolutionary Strategies
 21.5 Stiles?Crawford Effect
 21.6 Chapter Summary
 References
22 Visual Spatial Channels and the CAGE?Barten Model: Conjectures
 22.1 Frequency Analysis Capabilities of the Eye
 22.2 Spatial Channels: a Brief Review
 22.3 Modeling Spatial Channels
 22.4 Fitting Channels into CSF
 22.5 Receptive Fields of Channels
 22.6 Receptive Fields of Cortical Cells
 22.7 Channel Structure
 22.8 Anomaly in Defocused Visual Performance Modeling
 22.9 Chapter Summary
 References
23 Quality of the Human Visual System
 23.1 Answers to the Introductory Questions
 References
Appendix A. Mathematical Notations
Appendix B. Herzberger Dispersion Formula
Appendix C. Determination Coefficient R2
Appendix D. Optical Parameters of the CAGE Eye Model
Appendix E. Visual Acuity Lines
Appendix F. List of Acronyms

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