Analysis and Evaluation of Sampled Imaging Systems (SPIE Tutorial Text Vol. TT87) (SPIE Tutorial Texts)

Content: 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
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1.5.2. The display as a filter of the image samples
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1.5.3. The display as a filter of the sampled image --
1.6. The sampling theorem. --
1.6.1. Theory
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1.6.2. Example
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1.6.3. Discussion --
Bibliography. Appendix. Observer vision model. A.1. Contrast threshold function --
A.2. Engineering model of the eye --
References --
Index. 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. 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. 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. 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. 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. 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.