In [1]:

    

from PIL import Image, ImageDraw, ImageFilter


    

In [2]:

    

im1 = Image.open('data/src/lena.jpg')
im2 = Image.open('data/src/rocket.jpg').resize(im1.size)


    

In [3]:

    

im2.save('data/src/rocket_resize.jpg')


    

In [4]:

    

mask = Image.new("L", im1.size, 128)
im = Image.composite(im1, im2, mask)
# im = Image.blend(im1, im2, 0.5)


    

In [5]:

    

im.save('data/dst/pillow_composite_solid.jpg', quality=95)


    

In [6]:

    

mask = Image.new("L", im1.size, 0)
draw = ImageDraw.Draw(mask)
draw.ellipse((140, 50, 260, 170), fill=255)
im = Image.composite(im1, im2, mask)


    

In [7]:

    

im.save('data/dst/pillow_composite_circle.jpg', quality=95)


    

In [8]:

    

mask_blur = mask.filter(ImageFilter.GaussianBlur(10))
im = Image.composite(im1, im2, mask_blur)


    

In [9]:

    

im.save('data/dst/pillow_composite_circle_blur.jpg', quality=95)


    

In [10]:

    

mask = Image.open('data/src/horse.png').convert('L').resize(im1.size)
im = Image.composite(im1, im2, mask)


    

In [11]:

    

im.save('data/dst/pillow_composite_horse.jpg', quality=95)


    

In [12]:

    

mask = Image.open('data/src/gradation_h.jpg').convert('L').resize(im1.size)
im = Image.composite(im1, im2, mask)


    

In [13]:

    

im.save('data/dst/pillow_composite_gradation.jpg', quality=95)