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
Дата последнего поиска статьи во внешних источниках: 11 ноября 2019 г.
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.