Analysis of Sampled Imaging Systems

Author(s): Richard H. Vollmerhausen, Ronald G. Driggers

Published: 2000

PDF ISBN: 9780819499950

DESCRIPTION

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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Front Matter

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CHAPTER 1.

Introduction

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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 is the sum of its parts
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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CHAPTER 2.

Fourier Integral Representation of an Optical Image

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2.1 Linear, shift-invariant optical systems
2.2 Spatial and frequency domain filters
2.3 Reducing LSI imager analysis to one dimension
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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CHAPTER 3.

Sampled Imager Response Function

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3.1 Fourier transform of a sampled image
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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CHAPTER 4.

Sampled Imager Design and Optimization

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4.1 Interpolation and image reconstruction
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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CHAPTER 5.

Interlace and Dither

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5.1 Sampling improvement with static scene
5.2 Resolution and sensitivity
5.3 Effect of scene to sensor motion

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CHAPTER 6.

Dynamic sampling, resolution enhancement, and super resolution

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6.1 Introduction
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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CHAPTER 7.

The Sampling Theorem

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7.1 Theory
7.2 Example
7.3 Discussion

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CHAPTER 8.

Laboratory Measurements of Sampled Infrared Imaging System Performance

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8.1 Classical infrared imager performance measurements
8.1.1 Sensitivity
8.1.2 Resolution
8.1.3 Human performance – minimum resolvable temperature difference
8.2 Sampled infrared imager performance measurements
8.2.1 Sensitivity
8.2.2 Resolution – modulation transfer function
8.2.3 Human performance - minimum resolvable temperature difference

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Back Matter

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