In Python, iterating over all the images and resizing each image to the following interpolations can be done using the OpenCV library. The following code can be used:import cv2import osimg_folder = 'folder_path'new_folder = 'new_folder_path'interpolations = [cv2.INTER_LINEAR, cv2.INTER_NEAREST, cv2.INTER_AREA, cv2.INTER_CUBIC]for filename in os.listdir(img_folder): img_path = os.path.join(img_folder, filename) img = cv2.imread(img_path) for interp in interpolations: new_img = cv2.resize(img, None, fx=0.5, fy=0.5, interpolation=interp) new_filename = filename.split('.')[0] + '_' + interp + '.' + filename.split('.')[1] new_img_path = os.path.join(new_folder, new_filename) cv2.imwrite(new_img_path, new_img)The above code reads all the images in the specified folder and resizes each image to the specified interpolations: bilinear, nearest, area, and bicubic. The new images are then saved in the specified new folder with the name of the original image appended with the interpolation method used to resize the image.