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Foundations of Image Science provides the student a detailed overview of image science concepts, including vectors and operators, the dirac delta and other generalized functions, fourier analysis, series expansions and integral transforms, mixed representations, group theory, and deterministic descriptions of imaging systems, among others. This textbook is direct and concise with systematic content designed to engage today’s student through visually engaging content. There is a wide variety of assignment types that help students master image science concepts & build real-world working capability. Foundations of Image Science goes into stochastic descriptions of objects and images, diffraction theory and imaging, energy transport and photons, poisson statistics and photon counting, image quality, inverse problems, and statistical decision theory. A chapter is broken down into planar imaging with x rays and gamma rays. Buy the textbook Foundations of Image Science and be confident in your image science education and career.
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