Research Article

Deep Learning- and Transfer Learning-Based Super Resolution Reconstruction from Single Medical Image

Table 2

Bicubic interpretation template parameters.

TemplateConditionsDiscretized parameters

T1v ∈ [0, 1/4], u ∈ [0, 1/4]Let v = 1/8 and u = 1/8
T2v ∈ [0, 1/4], u ∈ [1/4, 2/4]Let v = 1/8 and u = 3/8
T3v ∈ [0, 1/4], u ∈ [2/4, 3/4]Let v = 1/8 and u = 5/8
T4v ∈ [0, 1/4], u ∈ [3/4, 1]Let v = 1/8 and u = 7/8
T5v ∈ [1/4, 2/4], u ∈ [0, 1/4]Let v = 3/8 and u = 1/8
T6v ∈ [1/4, 2/4], u ∈ [1/4, 2/4]Let v = 3/8 and u = 3/8
T7v ∈ [1/4, 2/4], u ∈ [2/4, 3/4]Let v = 3/8 and u = 5/8
T8v ∈ [1/4, 2/4], u ∈ [3/4, 1]Let v = 3/8 and u = 7/8
T9v ∈ [2/4, 3/4], u ∈ [0, 1/4]Let v = 5/8 and u = 1/8
T10v ∈ [2/4, 3/4], u ∈ [1/4, 2/4]Let v = 5/8 and u = 3/8
T11v ∈ [2/4, 3/4], u ∈ [2/4, 3/4]Let v = 5/8 and u = 5/8
T12v ∈ [2/4, 3/4], u ∈ [3/4, 1]Let v = 5/8 and u = 7/8
T13v ∈ [3/4, 1], u ∈ [0, 1/4]Let v = 7/8 and u = 1/8
T14v ∈ [3/4, 1], u ∈ [1/4, 2/4]Let v = 7/8 and u = 3/8
T15v ∈ [3/4, 1], u ∈ [2/4, 3/4]Let v = 7/8 and u = 5/8
T16v ∈ [3/4, 1], u ∈ [3/4, 1]Let v = 7/8 and u = 7/8