from PIL import Image
from matplotlib.pyplot import imshow
import numpy as np
%matplotlib inline

img_lena = Image.open("images/lena.jpg").convert('RGB')
print(img_lena.width, img_lena.height, img_lena.mode, img_lena.format, type(img_lena))

imshow(img_lena)

# crop the rectangle given by (left, top, right, bottom) from the image
im_c = img_lena.crop((100,75,150,150)) 
imshow(im_c)

img_lena_array = np.array(img_lena)

#her değeri 50 arttır
for i in range(img_lena_array.shape[0]):
    for j in range(img_lena_array.shape[1]):
        for k in range(img_lena_array.shape[2]):
            try:
                if img_lena_array[i][j][k] + 50 <= 255: 
                    img_lena_array[i][j][k] =  img_lena_array[i][j][k] + 50
            except IndexError:
                continue
                    
imshow(img_lena_array)

img_lena_array = np.array(img_lena)

#her değeri 50 düşür
for i in range(img_lena_array.shape[0]):
    for j in range(img_lena_array.shape[1]):
        for k in range(img_lena_array.shape[2]):
            try:
                if img_lena_array[i][j][k] - 50 >= 0: 
                    img_lena_array[i][j][k] =  img_lena_array[i][j][k] - 50
            except IndexError:
                continue
                    
imshow(img_lena_array)

img_lena_array = np.array(img_lena)

#her değeri 50 düşür
for i in range(img_lena_array.shape[0]):
    for j in range(img_lena_array.shape[1]):
        for k in range(img_lena_array.shape[2]):
            #bir eşik değeri belirlenip, o değerin altındaki pixel değerlerini düşürme veya değerin üzerindekileri arttırma
            if img_lena_array[i][j][k] <= 127:
                if img_lena_array[i][j][k] - 50 >= 0:
                    img_lena_array[i][j][k] = img_lena_array[i][j][k] - 50 
            else:
                if img_lena_array[i][j][k] + 50 <= 255:
                    img_lena_array[i][j][k] = img_lena_array[i][j][k] + 50 
                    
imshow(img_lena_array)