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Tanguy.Raufflet
ImageINSA_Tanguy
Commits
7ebe99ae
Commit
7ebe99ae
authored
12 years ago
by
Sacha Percot-Tétu
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Added the missing FFT algorithm files
parent
6c8ee971
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app/Algorithms/FFT.cpp
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app/Algorithms/FFT.cpp
app/Algorithms/FFT.h
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app/Algorithms/FFT.h
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app/Algorithms/FFT.cpp
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+
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7ebe99ae
/*
* Copyright 2011-2012 INSA Rennes
*
* This file is part of EIImage.
*
* EIImage is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* EIImage is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with EIImage. If not, see <http://www.gnu.org/licenses/>.
*/
#include
"FFT.h"
using
namespace
std
;
typedef
struct
{
double
real
;
double
imag
;
}
COMPLEX
;
// complex
// FFT & 2DFFT code written by Paul Bourke July 1998
/*----------------------------------------------------------------------
---
Calculate the closest but lower power of two of a number
twopm = 2**m <= n
Return TRUE if 2**m == n
*/
bool
Powerof2
(
int
n
,
int
*
m
,
int
*
twopm
)
{
if
(
n
<=
1
)
{
*
m
=
0
;
*
twopm
=
1
;
return
false
;
}
*
m
=
1
;
*
twopm
=
2
;
do
{
(
*
m
)
++
;
(
*
twopm
)
*=
2
;
}
while
(
2
*
(
*
twopm
)
<=
n
);
if
(
*
twopm
!=
n
)
{
return
false
;
}
else
{
return
true
;
}
}
int
nearestUpPower2
(
int
n
)
{
int
i
;
for
(
i
=
1
;
i
<
n
;
i
*=
2
);
return
i
;
}
/*-------------------------------------------------------------------------
Perform a 2D FFT inplace given a complex 2D array
The direction dir, 1 for forward, -1 for reverse
The size of the array (nx,ny)
Return false if there are memory problems or
the dimensions are not powers of 2
*/
bool
FFT2D
(
complex
<
double
>
**
c
,
int
nx
,
int
ny
,
int
dir
)
{
int
m
,
twopm
;
double
*
real
,
*
imag
;
/* Transform the rows */
real
=
new
double
[
nx
];
imag
=
new
double
[
nx
];
if
(
real
==
NULL
||
imag
==
NULL
)
return
false
;
if
(
!
Powerof2
(
nx
,
&
m
,
&
twopm
)
||
twopm
!=
nx
)
return
false
;
for
(
int
j
=
0
;
j
<
ny
;
j
++
)
{
for
(
int
i
=
0
;
i
<
nx
;
i
++
)
{
real
[
i
]
=
c
[
i
][
j
].
real
();
imag
[
i
]
=
c
[
i
][
j
].
imag
();
}
FFT
(
dir
,
m
,
real
,
imag
);
for
(
int
i
=
0
;
i
<
nx
;
i
++
)
{
c
[
i
][
j
]
=
complex
<
double
>
(
real
[
i
],
imag
[
i
]);
}
}
delete
[]
real
;
delete
[]
imag
;
/* Transform the columns */
real
=
new
double
[
ny
];
imag
=
new
double
[
ny
];
if
(
real
==
NULL
||
imag
==
NULL
)
return
false
;
if
(
!
Powerof2
(
ny
,
&
m
,
&
twopm
)
||
twopm
!=
ny
)
return
false
;
for
(
int
i
=
0
;
i
<
nx
;
i
++
)
{
for
(
int
j
=
0
;
j
<
ny
;
j
++
)
{
real
[
j
]
=
c
[
i
][
j
].
real
();
imag
[
j
]
=
c
[
i
][
j
].
imag
();
}
FFT
(
dir
,
m
,
real
,
imag
);
for
(
int
j
=
0
;
j
<
ny
;
j
++
)
{
c
[
i
][
j
]
=
complex
<
double
>
(
real
[
j
],
imag
[
j
]);
}
}
delete
[]
real
;
delete
[]
imag
;
return
true
;
}
/*-------------------------------------------------------------------------
This computes an in-place complex-to-complex FFT
x and y are the real and imaginary arrays of 2^m points.
dir = 1 gives forward transform
dir = -1 gives reverse transform
Formula: forward
N-1
---
1 \ - j k 2 pi n / N
X(n) = --- > x(k) e = forward transform
N / n=0..N-1
---
k=0
Formula: reverse
N-1
---
\ j k 2 pi n / N
X(n) = > x(k) e = forward transform
/ n=0..N-1
---
k=0
*/
void
FFT
(
int
dir
,
int
m
,
double
*
x
,
double
*
y
)
{
long
nn
,
i
,
i1
,
j
,
k
,
i2
,
l
,
l1
,
l2
;
double
c1
,
c2
,
tx
,
ty
,
t1
,
t2
,
u1
,
u2
,
z
;
/* Calculate the number of points */
nn
=
1
;
for
(
i
=
0
;
i
<
m
;
i
++
)
nn
*=
2
;
/* Do the bit reversal */
i2
=
nn
>>
1
;
j
=
0
;
for
(
i
=
0
;
i
<
nn
-
1
;
i
++
)
{
if
(
i
<
j
)
{
tx
=
x
[
i
];
ty
=
y
[
i
];
x
[
i
]
=
x
[
j
];
y
[
i
]
=
y
[
j
];
x
[
j
]
=
tx
;
y
[
j
]
=
ty
;
}
k
=
i2
;
while
(
k
<=
j
)
{
j
-=
k
;
k
>>=
1
;
}
j
+=
k
;
}
/* Compute the FFT */
c1
=
-
1.0
;
c2
=
0.0
;
l2
=
1
;
for
(
l
=
0
;
l
<
m
;
l
++
)
{
l1
=
l2
;
l2
<<=
1
;
u1
=
1.0
;
u2
=
0.0
;
for
(
j
=
0
;
j
<
l1
;
j
++
)
{
for
(
i
=
j
;
i
<
nn
;
i
+=
l2
)
{
i1
=
i
+
l1
;
t1
=
u1
*
x
[
i1
]
-
u2
*
y
[
i1
];
t2
=
u1
*
y
[
i1
]
+
u2
*
x
[
i1
];
x
[
i1
]
=
x
[
i
]
-
t1
;
y
[
i1
]
=
y
[
i
]
-
t2
;
x
[
i
]
+=
t1
;
y
[
i
]
+=
t2
;
}
z
=
u1
*
c1
-
u2
*
c2
;
u2
=
u1
*
c2
+
u2
*
c1
;
u1
=
z
;
}
c2
=
sqrt
((
1.0
-
c1
)
/
2.0
);
if
(
dir
==
1
)
c2
=
-
c2
;
c1
=
sqrt
((
1.0
+
c1
)
/
2.0
);
}
/* Scaling for forward transform */
if
(
dir
==
1
)
{
for
(
i
=
0
;
i
<
nn
;
i
++
)
{
x
[
i
]
/=
(
double
)
nn
;
y
[
i
]
/=
(
double
)
nn
;
}
}
return
;
}
This diff is collapsed.
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app/Algorithms/FFT.h
0 → 100644
+
30
−
0
View file @
7ebe99ae
/*
* Copyright 2011-2012 INSA Rennes
*
* This file is part of EIImage.
*
* EIImage is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* EIImage is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with EIImage. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef FFT_H
#define FFT_H
#include
<complex>
int
nearestUpPower2
(
int
n
);
bool
Powerof2
(
int
n
,
int
*
m
,
int
*
twopm
);
void
FFT
(
int
dir
,
int
m
,
double
*
x
,
double
*
y
);
bool
FFT2D
(
std
::
complex
<
double
>
**
c
,
int
nx
,
int
ny
,
int
dir
);
#endif // FFT_H
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