Files
scikit-image/skimage/transform/rescale.py
T
2013-07-04 17:24:14 +08:00

35 lines
963 B
Python

# TODO : Doc, Tests, PEP8 check
import numpy as np
from skimage.util.shape import view_as_blocks
def downsample(image, factors, method='sum'):
# works only if image.shape is perfectly divisible by factors
out = view_as_blocks(image, factors)
block_shape = out.shape
if method == 'sum':
for i in range(len(block_shape)/2):
out = out.sum(-1)
else:
for i in range(len(block_shape)/2):
out = out.mean(-1)
return out
def upsample(image, factors, method='divide'):
f = factors
if (f[0] - int(f[0]) != 0) or (f[1] - int(f[1]) != 0):
raise ValueError('Use resample() for non-integer upsampling')
out = np.zeros((f[0] * image.shape[0], f[1] * image.shape[1]))
for i in range(out.shape[0]):
for j in range(out.shape[1]):
out[i][j] = (image[i / f[0]][j / f[1]])
if method == 'divide':
return out / float(f[0] * f[1])
else:
return out