Advances in solid state detector arrays, flat panel displays, and digital image processing have prompted an increasing variety of sampled imaging products and possibilities. These technology developments provide new opportunities and problems for the design engineer and system analyst--this tutorial's intended reader.
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1.5.2 The display is a filter of the image samples
1.5.3 The display is a filter of the sampled image
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2.4 The MTF associated with typical imager components
2.4.1 Optical filtering
2.4.2 Detector spatial filters
2.4.3 Electronic filtering
2.4.4 Display filtering
2.4.5 Filtering by the human eye
2.5 Temporal filters
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3.2 Derivation of 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 infrared sensor
3.4 Definition and calculation of the spurious response ratio
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4.2 Classical design criteria for sampled imaging systems
4.3 Minimum resolvable temperature difference, miminum resolvable contrast, and the half-sample limit
4.4 MTF Squeeze
4.5 Sampled imager optimization
4.5.1 Gaussian pre-sample blur and Gaussian post-sample blur
4.5.2 Gaussian pre-sample blur and rectangular post-sample blur
4.5.3 Optimizing the display of a 256 by 256 staring array imager
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6.2 Sampling limitations of the focal plane array topology
6.2.1 Review of discrete image sampling
6.2.2 The fundamental limitation of the FPA sampling
6.3 Dynamic sampling
6.4 Ambient optical flow as a novel sampling mechanism
6.4.1 Shift estimation
6.4.2 Generalized motion estimation
6.5 Image restoration
6.6 Conclusion
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8.2.3 Human performance - minimum resolvable temperature difference
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