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Abstract

Classification of varieties of super-resolution methods is based on the gap between the minimum value of the Modulation Transfer Function (MTF) M (O) (for discrete Apparatus Functions (AF) O) and zero. Classifiers underlie the concept of super-resolution. Conditionality is the main setting of AF O to increase resolution. The conditionality is numerically equal to the reciprocal of the minimum value |M(O)| or the magnitude of this gap.

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Terentiev, E.N., Shilin-Terentiev, N.E. (2019). Classifiers in Super-Resolution Problems. In: Karev, V., Klimov, D., Pokazeev, K. (eds) Physical and Mathematical Modeling of Earth and Environment Processes (2018). Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-11533-3_44

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