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Classifiers in Super-Resolution Problems, pp. 441-455, Springer Proceedings in Earth and Environmental Sciences. Springer, Cham, doi.org/10.1007/978-3-030-11533-3_44статья
- Авторы: Terentiev E.N., Shilin-Terentiev N.E.
- Сборник: Physical and Mathematical Modeling of Earth and Environment Processes (2018)
- Серия: Springer Proceedings in Earth and Environmental Sciences
- Год издания: 2018
- Место издания: Springer
- Первая страница: 441
- Последняя страница: 455
- DOI: 10.1007/978-3-030-11533-3_44
- Аннотация: 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.
- Добавил в систему: Терентьев Евгений Николаевич