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authorMattias Andrée <maandree@operamail.com>2014-04-06 00:44:00 +0200
committerMattias Andrée <maandree@operamail.com>2014-04-06 00:44:00 +0200
commit2c10dfc7aa259ad0fd5f3eab8879e870e77fd667 (patch)
tree62e844743d811dd3ba987d170cf1cb8fe71c9f88 /src
parentadd cubic interpolation test, did not work out too well (diff)
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m + fix cubic interpolation
Signed-off-by: Mattias Andrée <maandree@operamail.com>
Diffstat (limited to 'src')
-rw-r--r--src/interpolation.py11
1 files changed, 7 insertions, 4 deletions
diff --git a/src/interpolation.py b/src/interpolation.py
index 0d16838..e81c93c 100644
--- a/src/interpolation.py
+++ b/src/interpolation.py
@@ -47,13 +47,14 @@ def linearly_interpolate_ramp(r, g, b):
return (R, G, B)
-def cubicly_interpolate_ramp(r, g, b):
+def cubicly_interpolate_ramp(r, g, b, tension = 0): # TODO demo and document tension parameter
'''
Interpolate ramps to the size of the output axes using cubic Hermite spline
@param r:list<float> The red colour curves
@param g:list<float> The green colour curves
@param b:list<float> The blue colour curves
+ @param tension:float A [0, 1] value of the tension
@return :(r:list<float>, g:list<float>, b:list<float>) The input parameters extended to sizes of `o_size`,
or their original size, whatever is larger.
'''
@@ -61,8 +62,8 @@ def cubicly_interpolate_ramp(r, g, b):
R, G, B = C(r), C(g), C(b)
# Basis functions
h00 = lambda t : (1 + 2 * t) * (1 - t) ** 2
- h01 = lambda t : t * (1 - t) ** 2
- h10 = lambda t : t ** 2 * (3 - 2 * t)
+ h10 = lambda t : t * (1 - t) ** 2
+ h01 = lambda t : t ** 2 * (3 - 2 * t)
h11 = lambda t : t ** 2 * (t - 1)
def tangent(values, index, last):
'''
@@ -77,6 +78,8 @@ def cubicly_interpolate_ramp(r, g, b):
if index == 0: return values[1] - values[0]
if index == last: return values[last] - values[last - 1]
return (values[index + 1] - values[index - 1]) / 2
+ # Tension coefficent
+ c_ = 1 - tension
# Interpolate each curve
for small, large in ((r, R), (g, G), (b, B)):
small_, large_ = len(small) - 1, len(large) - 1
@@ -90,7 +93,7 @@ def cubicly_interpolate_ramp(r, g, b):
# Points
pj, pk = small[j], small[k]
# Tangents
- mj, mk = tangent(small, j, small_), tangent(small, k, small_)
+ mj, mk = c_ * tangent(small, j, small_), c_ * tangent(small, k, small_)
# Interpolation
large[i] = h00(w) * pj + h10(w) * mj + h01(w) * pk + h11(w) * mk
## Check local monotonicity