from scipy.misc import imread, imsave, imresize

# Read an JPEG image into a numpy array
img = imread('../images/lena_std.tif')
print(img.dtype, img.shape)  # Prints "uint8 (400, 248, 3)"

"""
We can tint the image by scaling each of the color channels
by a different scalar constant. The image has shape (400, 248, 3);
we multiply it by the array [1, 0.95, 0.9] of shape (3,);
numpy broadcasting means that this leaves the red channel unchanged,
and multiplies the green and blue channels by 0.95 and 0.9
respectively.
"""
img_tinted = img * [1, 0.95, 0.9]

# Resize the tinted image to be 300 by 300 pixels.
img_tinted = imresize(img_tinted, (300, 300))

# Write the tinted image back to disk
imsave('../images/nlena_std.tif', img_tinted)
