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New developments in lasers and electro-optics research / William T. Arkin, editor.

Ebook Central Academic Complete Available online

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Format:
Book
Contributor:
Arkin, William T.
Language:
English
Subjects (All):
Electrooptics.
Lasers.
Physical Description:
1 online resource (287 p.)
Edition:
1st ed.
Place of Publication:
New York : Nova Science Publishers, c2007.
Language Note:
English
Summary:
It is expected that ongoing advances in optics will revolutionise the 21st century as they began doing in the last quarter of the 20th. Such fields as communications, materials science, computing and medicine are leaping forward based on developments in optics. This new series presents leading edge research on optics and lasers from researchers spanning the globe.
Contents:
Intro
NEW DEVELOPMENTS IN LASERS AND ELECTRO-OPTICS RESEARCH
CONTENTS
PREFACE
Chapter 1 USING EXCIMER LASERS FOR MICROABLATION OF TRANSPARENT MATERIALS FOR OPTOELECTRONIC APPLICATIONS
ABSTRACT
INTRODUCTION
EXCIMER LASER AND BASIC MICROABLATION SYSTEM
ABSORPTION AND ABLATION
ABLATION RATES OF OPTICAL POLYMERS
Common Optical Polymers
Proprietary Optical Polymers
POLYMER-BASED ABLATED OPTICAL MICROSTRUCTURES
Surface Morphology of Ablated Polymers
Roughness
Debris
Incubation
Ablation of Microarray Ferrule for Multimode Optical Fiber Alignment
Ablation of Microlenses for Singlemode Optical Fiber Coupling
Ablation of Microlenses in Transparent Chip Encapsulants
ABLATION OF GLASS BASED MATERIALS
GLASS-BASED ABLATED MICROSTRUCTURES
Parallel Grooves for Optical Waveguide with Continuously Changing Gratings Profiles
Arrayed Pillars for Microstamping and Wave Absorbing
Curved Surface Ablation for Optical Lenses
CONCLUSION
ACKNOWLEDGEMENTS
REFERENCES
Chapter 2 HIGH DISCHARGE TUBE RESOURCE OF THE UV CU+ NE-CUBR LASER AND SOME APPLICATIONS*
I. INTRODUCTION
II. EXPERIMENTAL APPARATUS
III. EXPERIMENTAL RESULTS
1. Output Parameters and a Spectral Study of UV Cu+ Ne-CuBr Laser [13]
1.1. Temporal Behavior of the Average Output Power for the Laser Tube Construction T1
1.2. Spectral Investigation on the Gas Discharge
1.3. Discussion
2. Comparative Investigation on the Output Characteristics and Electrical Parameters of the UV Cu+ Ne-CuBr Laser Excited by the Blumlein and IC Excitation Schemes
3. Effect of Hydrogen on the Average Output Power of the UV Cu+ Ne-CuBr Laser [17]
3.1. Experimental Results
3.2. Discussion
4. Discharge Tube Resource
IV. APLICATIONS.
1. UV-Laser Induced Modification of Poly-3,4- Ethylenedioxythiophene (PEDOT)
2. Refractive Index of Polymers Films
3. UV Cu+ Ne-CuBr Laser for Material Treatment
IV. CONCLUSIONS
Chapter 3 IMPROVEMENT OF IMAGES RECONSTRUCTED FROM 3D COMPUTER-GENERATED HOLOGRAMS
1. INTRODUCTION
2. IMPROVEMENT OF IMAGES RECONSTRUCTED FROM COMPUTER-GENERATED HOLOGRAMS USING AN ITERATIVE METHOD
3. RECONSTRUCTION OF HOLOGRAMS GENERATED BY USING A COMBINATION OF AN ITERATIVE AND ERROR DIFFUSION METHODS
4. ENHANCEMENT OF IMAGES OBTAINED FROM RECONSTRUCTION OF 3D COMPUTER-GENERATED HOLOGRAMS
5. 3D COMPUTER-GENERATED HOLOGRAMS USING 1D FOURIER TRANSFORM OPERATIONS
6. IMPROVEMENT OF RECONSTRUCTION IN 3D COMPUTER-GENERATED HOLOGRAMS USING 1D FOURIER TRANSFORM OPERATIONS
7. IMPROVEMENT OF 1D OFF-AXIS COMPUTER-GENERATED HOLOGRAMS
8. CONCLUSION
Chapter 4 THREE-DIMENSIONAL MULTI-RESOLUTION IMAGING AND MODELING
2. MULTI-RESOLUTION 3D IMAGING
2.1 Incoherent System
(1) 3-D imaging Based on Point-Array Encoding
(2) Demonstration of Theoretical Prediction
(3) Experimental Results and Discussion
2.2 Coherent System
(1) AO Deflection
(2) DAOD-Based Projector
(3) DAOD-Based 3D Imaging Modality
(4) Experiment and Results
3. MULTI-VIEW RANGE IMAGE REGISTRATION
3.1 Initial Estimation
3.2 Fine Matching
4. MULTI-VIEW RANGE IMAGE INTEGRATION
4.1 Segmentation of Range Images
4.2 Definition of Double Stitching Lines
4.3 Integration algorithm based on PSL and SSL
(a) Construction of PSL
(b) Construction of SSL
(c) Local Triangulation (Stitching the Gap)
4.4 Experimental Results
5. SIMPLIFICATION OF 3D MODEL
5.1 Method
(a) Edge Collapse Operation
(b) Derivation of New Error Metric.
(c) Computation of New Vertices
5.2 Experimental Results
6. REFINEMENT OF SIMPLIFIED 3D MODEL
6.1 Brief Review of 3 Subdivision
6.2 Improved Scheme to 3 Subdivision
(a) Features Tagging
(b) Topology Rules
(c) Geometric Rules
6.3 Local Feature-Retained 3-Subdivision Algorithm
6.4 Practical Examples
7. CONCLUSION
ACKNOWLEDGEMENT
Chapter 5 IN-LINE HOLOGRAM RECONSTRUCTION BY USING ITERATIVE ALGORITHMS
2. FORMULAS USED IN RECONSTRUCTION
3. DIFFERENCES BETWEEN THE YG AND GS ALGORITHMS
4. OBJECT RECONSTRUCTION FROM DOUBLE OR MULTI HOLOGRAMS
5. OBJECT RECONSTRUCTION FROM A HOLOGRAM SERIES
6. CONCLUSION
ACKNOWLEDGMENTS
Chapter 6 SPECKLE TECHNIQUES FOR OPTICAL METROLOGY
1. SPECKLE PHOTOGRAPHY
1.1. Speckle Photography using a Photographic Plate
1.2. Speckle Photography with Video/Digital Recording
1.3. Speckle Photography with Photorefractive Materials
1.4. Phase Shifting Whole Field Speckle Photography
2. SPECKLE INTERFEROMETRY
2.1. Duffy's Two-Aperture Technique
3. SPECKLE SHEAR INTERFEROMETRY
4. ELECTRONIC SPECKLE PATTERN INTERFEROMETRY
4.1. ESPI Measuring System and Data Processing
4.2. Phase Shifting Facility in ESPI
4.3. ESPI System for Static and Vibration Analysis
4.4. ESSPI System (Shearography)
4.4.1. Microscopic ESPI Systems for MEMS and (MOEMS)
4.5. Endoscopic ESPI system
5. CONCLUSION
Chapter 7 RECENT PROGRESSES OF MULTI-WAVELENGTH SEMICONDUCTOR LASER DIODES FOR OPTICAL INFORMATION STORAGE SYSTEMS
2. HYBRID-INTEGRATED TWO-WAVELENGTH LASER DIODES
2-1. Conventional Type Lasers
2-2 Holographic Pick-Up Module Type Lasers
2-3 Chip-to-Chip Bonding Type Lasers.
3. MONOLITHIC-INTEGRATED TWO WAVELENGTH LASER DIODES
3-1 Visible and Infrared Bands Integrated Type Lasers
3-2 Green and Red Bands Integrated Type Lasers
4. CONCLUSION
Chapter 8 SHAPE DETECTION BY MEANS OF A LASER LINE AND APPROXIMATION NEURAL NETWORKS
2. LASER LINE PROJECTION
3. LASER LINE IMAGE PROCESSING
a) Least Squared
b) Gaussian Approximation
c) Bezier Curves
4. APPROXIMATION NEURAL NETWORKS APPLIED TO A LASER LINE
4.1 Structure of a Radial Basis Function Neural Network
4.2 Structure of a General Regression Neural Network
4.3 Structure of a Bezier Neural Network
5. OBJECT SHAPE DETECTION APPLYING NEURAL NETWORKS
INDEX
Blank Page.
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
ISBN:
1-61209-904-1
OCLC:
923668263

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