import cv2,os
import numpy as np

def mask(path):
    img = cv2.imread(path,cv2.IMREAD_GRAYSCALE)
    _,mask = cv2.threshold(img,80,255,cv2.THRESH_BINARY)
    return mask

def repair(img,mask):
    rep = cv2.resize(img,None,fx=0.6,fy=0.6,interpolation=cv2.INTER_CUBIC)
    # print(type(mask))
    mask = cv2.resize(mask(img_path),None,fx=0.6,fy=0.6,interpolation=cv2.INTER_CUBIC)
    dst = cv2.illuminationChange(rep,mask)
    return dst

if __name__ == '__main__':
    # path = r'./1.jpg'
    # path = r"D:\install\Meshroom-2020.1.1-win64\Meshroom-2020.1.1\data\input\04_04"
    # mask = mask(path)
    # img = cv2.imread(path)
    # dst = repair(img,mask)
    # cv2.imshow("a",dst)
    # cv2.waitKey()
    # # cv2.imwrite('1-1.jpg', dst)

# Try to batch in batches below

    file_root = r'D:\install\Meshroom-2020.1.1-win64\Meshroom-2020.1.1\data\input\04_04'  # All pictures under the current folder
    file_list = os.listdir(file_root)
    save_out = r"D:\install\Meshroom-2020.1.1-win64\Meshroom-2020.1.1\data\input\04_04\out"  # Save the folder name of the picture
    for img_name in file_list:
        if img_name.endswith('.jpg'):
            img_path = file_root + "\\"+ img_name
            img = cv2.imread(img_path)
            dst = repair(img, mask)

            I = cv2.imread(img_path, -1)
            # Image = SITK.Readimage (". DCM")# Read DCM
            # inputimg = np.squeeze (SITK.GetarrayFromimage (Image))# Read DCM
            # print(I.shape)
            # M, N = I.shape
            out_name = img_name.split('.')[0]
            save_path = save_out + "\\" + out_name + '.jpg'
            cv2.imwrite(save_path, dst)
        print(img_name + "Save success")

Effect:

If you encounter SRC error:

 1.OPENCV reduced version3.4around2. print(type(mask))，
 3. def repair(img,mask):
    rep = cv2.resize(img,None,fx=0.6,fy=0.6,interpolation=cv2.INTER_CUBIC)
    # print(type(mask))
    mask = cv2.resize(mask(img_path),None,fx=0.6,fy=0.6,interpolation=cv2.INTER_CUBIC)
    dst = cv2.illuminationChange(rep,mask)
    return dst