Reputation: 85
I can read every pixel' RGB of the image already, but I don't know how to change the values of RGB to a half and save as a image.Thank you in advance.
from PIL import *
def half_pixel(jpg):
im=Image.open(jpg)
img=im.load()
print(im.size)
[xs,ys]=im.size #width*height
# Examine every pixel in im
for x in range(0,xs):
for y in range(0,ys):
#get the RGB color of the pixel
[r,g,b]=img[x,y]
Upvotes: 1
Views: 25530
Reputation: 51
get the RGB color of the pixel
[r,g,b]=img.getpixel((x, y))
update new rgb value
r = r + rtint
g = g + gtint
b = b + btint
value = (r,g,b)
assign new rgb value back to pixel
img.putpixel((x, y), value)
Upvotes: 4
Reputation: 166
If you have Numpy and Matplotlib installed, one solution would be to convert your image to a numpy array and then e.g. save the image with matplotlib.
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
img = Image.open(jpg)
arr = np.array(img)
arr = arr/2 # divide each pixel in each channel by two
plt.imsave('output.png', arr.astype(np.uint8))
Be aware that you need to have a version of PIL >= 1.1.6
Upvotes: 0
Reputation: 835
You can do everything you are wanting to do within PIL.
If you are wanting to reduce the value of every pixel by half, you can do something like:
import PIL
im = PIL.Image.open('input_filename.jpg')
im.point(lambda x: x * .5)
im.save('output_filename.jpg')
You can see more info about point operations here: https://pillow.readthedocs.io/en/latest/handbook/tutorial.html#point-operations
Additionally, you can do arbitrary pixel manipulation as:
im[row, col] = (r, g, b)
Upvotes: 1
Reputation: 23064
There are many ways to do this with Pillow. You can use Image.point, for example.
# Function to map over each channel (r, g, b) on each pixel in the image
def change_to_a_half(val):
return val // 2
im = Image.open('./imagefile.jpg')
im.point(change_to_a_half)
The function is actually only called 256 times (assuming 8-bits color depth), and the resulting map is then applied to the pixels. This is much faster than running a nested loop in python.
Upvotes: 1