aimsalgo 6.0.0
Neuroimaging image processing
quinticresampler_d.h
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33
34
35#ifndef AIMS_RESAMPLING_QUINTICRESAMPLER_D_H
36#define AIMS_RESAMPLING_QUINTICRESAMPLER_D_H
37
39
40#include <cmath>
41
42namespace aims
43{
44
45template < class T >
47 : SplineResampler< T >()
48{
49
50 this->_poles.push_back( 0.5 * ( std::sqrt( 270.0 - std::sqrt( 70980.0 ) ) +
51 std::sqrt( 105.0 ) - 13.0 ) );
52 this->_poles.push_back( 0.5 * ( std::sqrt( 270.0 + std::sqrt( 70980.0 ) ) -
53 std::sqrt( 105.0 ) - 13.0 ) );
54 this->_gain = ( 1.0 - this->_poles[ 0 ] ) * ( 1.0 - this->_poles[ 1 ] );
55 this->_gain *= this->_gain;
56
57}
58
59
60template < class T >
64
65
66template < class T >
68{
69
70 return 5;
71
72}
73
74
75template < class T >
76double QuinticResampler< T >::getBSplineWeight( int i, double x ) const
77{
78
79 x = std::fabs( x - ( double )i );
80 if ( x < 1.0 )
81 {
82
83 double f = x * x;
84 return f * ( f * ( 0.25 - x * ( 1.0 / 12.0 ) ) - 0.5 ) + 0.55;
85
86 }
87 if ( x < 2.0 )
88 {
89
90 return x * ( x * ( x * ( x * ( x * ( 1.0 / 24.0 ) - 0.375 ) + 1.25 ) -
91 1.75 ) + 0.625 ) + 0.425;
92
93 }
94 if ( x < 3.0 )
95 {
96
97 double f = 3.0 - x;
98 x = f * f;
99 return f * x * x * ( 1.0 / 120.0 );
100
101 }
102 return 0.0;
103
104}
105
106} // namespace aims
107
108#endif
int getOrder() const CARTO_OVERRIDE
Spline order (1 to 7)
double getBSplineWeight(int i, double x) const CARTO_OVERRIDE
Returns .
std::vector< double > _poles