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The Resource Analysis and evaluation of sampled imaging systems, Richard H. Vollmerhausen, Donald A. Reago, Jr., Ronald G. Driggers, (electronic resource)

Analysis and evaluation of sampled imaging systems, Richard H. Vollmerhausen, Donald A. Reago, Jr., Ronald G. Driggers, (electronic resource)

Analysis and evaluation of sampled imaging systems
Analysis and evaluation of sampled imaging systems
Statement of responsibility
Richard H. Vollmerhausen, Donald A. Reago, Jr., Ronald G. Driggers
Advancing technology in detector arrays, flat panel displays, and digital image processing provides new opportunities to expand imaging applications and enhance system performance. Technical managers and design engineers are faced with evaluating the cost, weight, and performance of an ever-expanding selection of technology options. This tutorial text provides the theory, procedures, and information necessary to evaluate and compare the performance of available imaging technologies. Part I updates the earlier work presented in Analysis of Sampled Imaging Systems (2000). Part II discusses performance evaluation of electro-optical imagers. Part III provides computer programs (on a supplemental CD-ROM) and up-to-date information on detector arrays, optics, and display options
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Also available in print version.
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index present
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non fiction
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  • dictionaries
  • bibliography
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Tutorial texts series
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v. TT87
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Analysis and evaluation of sampled imaging systems, Richard H. Vollmerhausen, Donald A. Reago, Jr., Ronald G. Driggers, (electronic resource)
Analysis and evaluation of sampled imaging systems, Richard H. Vollmerhausen, Donald A. Reago, Jr., Ronald G. Driggers, (electronic resource)
"SPIE digital library."
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Bibliography note
Includes bibliographical references and index
black and white
  • Part I. Analysis of sampled imaging systems. Chapter 1. The sampling process -- 1.1. Description of a sampled imager -- 1.2. Description of the sampling process -- 1.3. Linearity and shift invariance -- 1.4. Signal reconstruction -- 1.5. Three ways of viewing the sampling process. -- 1.5.1. The displayed image as the sum of its parts; -- 1.5.2. The display as a filter of the image samples; -- 1.5.3. The display as a filter of the sampled image -- 1.6. The sampling theorem. -- 1.6.1. Theory; -- 1.6.2. Example; -- 1.6.3. Discussion -- Bibliography
  • Chapter 2. Fourier integral representation of an optical image.2.1. Linear shift-invariant optical systems -- 2.2. Equivalence of spatial and frequency domain filters -- 2.3. Reducing LSI imager analysis to one dimension -- 2.4. Perspectives on one-dimensional analysis -- 2.5. Imager modulation transfer functions. 2.5.1. Imager components; 2.5.2. Line-of-sight jitter; 2.5.3. Electronic stabilization; 2.5.4. Motion blur; 2.5.5. Field replication; 2.5.6. Analog electronic filters; 2.5.7. Display MTF -- Bibliography
  • Chapter 3. Sampled Imager Response Function. 3.1. Fourier transform of a sampled image -- 3.2. The sampled imager response function -- 3.3. Examples of sampled imager response functions. 3.3.1. Example 1: The pictures of Lena in Chapter 1; 3.3.2. Example 2: Effect of changing sample rate; 3.3.3. Example 3: Midwave thermal imager; 3.3.4. Example 4: Two-dimensional SIR example -- Bibliography
  • Chapter 4 Sampled imager optimization. 4.1. Interpolation Implementation -- Bibliography
  • Chapter 5. Interlace and dither. 5.1. Sampling improvement with static scene -- 5.2. Resolution and sensitivity -- 5.3. Effect of scene-to-sensor motion -- Bibliography
  • Part II. Evaluating the performance of electro-optical imagers. Chapter 6. Quantifying visual task performance. 6.1. Specifying and evaluating field performance -- 6.2. Factors that influence target identification -- 6.3. Measuring target signatures -- 6.4. Experimental procedure -- 6.5. Field test procedure -- 6.6. Test sets other than tactical vehicles -- 6.7. Field testing using bar targets
  • Chapter 7. Evaluating imager resolution. 7.1. Imager evaluation procedure -- 7.2. Modeling gain, level, and the user interface -- 7.3. Observer vision -- 7.4. Predicting probability of identification. 7.4.1. Comparing experimental data to model predictions -- 7.5. Test sets other than tactical vehicles -- Bibliography
  • Chapter 8. Quantifying the effect of aliasing on visual task performance. 8.1. Model treatment of spatial noise -- 8.2. Treatment of temporal noise in detectivity versus photon-counting models -- 8.3. Relating target and imager coordinate systems -- 8.4. Spatial scaling of aliasing noise - Bibliography
  • Chapter 9. Thermal imager topics. 9.1. Effective blackbody temperature -- 9.2. Signal and noise in the detectivity model -- 9.3. Thermal imager contrast threshold function -- 9.4. Adding aliasing noise -- 9.5. Predicting range performance -- 9.6. Modeling contrast enhancement and boost -- 9.7. Minimum resolvable temperature. 9.7.1. Predicting minimum resolvable temperature; 9.7.2. Predicting sampled imager minimum resolvable temperature; 9.7.3. Improving the minimum resolvable temperature procedure -- Bibliography
  • Chapter 10. Imagers of reflected light. 10.1. Calculating target set contrast -- 10.2. System contrast threshold function. 10.2.1. Interlace; 10.2.2. Snapshot and frame integration -- 10.3. Predicting Range Performance -- Bibliography
  • Part III. Applications. Chapter 11. Computer programs and application data. 11.1. Optics modulation transfer function.11.1.1. Thermal imagers; 11.1.2. Imagers of reflected light -- 11.2. Display modulation transfer function. 11.2.1. Cathode ray tubes; 11.2.2. Liquid crystal displays; 11.2.3. Display interface format -- 11.3. Atmospheric transmission and turbulence. 11.3.1. Atmosphere in the reflective model; 11.3.2. Atmosphere in the thermal model; 11.3.3. Atmospheric turbulence -- 11.4. Detector calculations. 11.4.1. Detector noise; 11.4.2. Detector modulation transfer function -- 11.5. Computer program description -- 11.6. Imager analysis using the programs. 11.6.1. Imager resolution; 11.6.2. System contrast threshold function; 11.6.3. Range plots -- References -- Bibliography
  • Chapter 12. Infrared focal plane arrays.12.1. Photon detector infrared focal plane arrays. 12.1.1. Photon detector basic principles; 12.1.2. Readout integrated circuit; 12.1.3. Photon detector dark current -- 12.2. IR FPA performance characterization. 12.2.1. Responsivity and detectivity background-limit performance; 12.2.2. Flux-based signal-to-noise ratio -- 12.3. Commonly available photon detector FPAs. 12.3.1. Indium antimonide (InSb) detectors; 12.3.2. Quantum well infrared photoconductor (QWIP) detectors; 12.3.3. Mercury cadmium telluride (HgCdTe) detectors -- 12.4. Uncooled detectors. 12.4.1. Introduction; 12.4.2. Signal-to-noise ratio and performance limits; 12.4.3. Typical uncooled detectors -- References
  • Appendix. Observer vision model. A.1. Contrast threshold function -- A.2. Engineering model of the eye -- References -- Index
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