aimsalgo  5.1.2
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 
42 namespace aims
43 {
44 
45 template < 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 
60 template < class T >
62 {
63 }
64 
65 
66 template < class T >
68 {
69 
70  return 5;
71 
72 }
73 
74 
75 template < class T >
76 double 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 .
B-Spline-based resampling.
std::vector< double > _poles