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This book explores the ways to improve the classical resolution limits of an imaging system, and provides novel approaches for achieving better results than would otherwise be possible with current imaging technology. The book begins by presenting the theoretical foundations, background information, and terminology of super resolution, and then discusses methods and systems used to achieve the super resolution effect. Various approaches to dealing with and exceeding the limitations of the lens aperture, the pixel size of the camera, and the noise generated at the detector are presented and analyzed. The last chapter illustrates several industry-related examples and potential applications to real industrial eletro-optical systems. This book is intended for graduate students or researchers in academia or industry, and anyone else looking to improve the performance of their electro-optical system design.
Fourier Transform and Fourier Optics - Degrees of Freedom and Wigner Distribution - The Concept of Super Resolution - Diffractive Super Resolution - Complex Adaptation - Geometrical Super Resolution - Noise Equivilant Super Resolution - Some Industrial Examples