Analysis of sampled imaging systems

Content: 1. Introduction --
Description of a sampled imager --
Description of the sampling process --
Linearity and shift invariance --
Signal reconstruction --
Three ways of viewing the sampling process. 2. Fourier integral representation of an optical image --
Linear, shift-invariant optical systems --
Spatial and frequency domain filters --
Reducing LSI imager analysis to one dimension --
The MTF associated with typical imager components --
Temporal filters. 3. Sampled imager response function --
Fourier transform of a sampled image --
Derivation of the sampled imager response function --
Examples of sampled imager response functions --
Definition and calculation of the spurious response ratio. 4. Sampled imager design and optimization --
Interpolation and image reconstruction --
Classical design criteria for sampled imaging systems --
Minimum resolvable temperature difference, minimum resolvable contrast, and the half-sample limit --
MTF squeeze --
Sampled imager optimization. 5. Interlace and dither --
Sampling improvement with static scene --
Resolution and sensitivity --
Effect of scene to sensor motion. 6. Dynamic sampling, resolution enhancement, and super resolution, contributed by Jonathon M. Schuler and Dean A. Scribner --
Introduction --
Sampling limitations of the focal plane array topology --
Dynamic sampling --
Ambient optical flow as a novel sampling mechanism --
Image restoration --
Conclusion. 7. The Sampling Theorem --
Theory --
Example --
Discussion. 8. Laboratory measurements of sampled infrared imaging system performance --
Classical infrared imager performance measurements --
Sampled infrared imager performance measurements --
Appendix A: Fourier series and Fourier integrals --
Fourier series --
Fourier integral --
Appendix B: The impulse function --
Definition --
Properties of the impulse function.