Python Image Processing Cookbook

How to do it...

Follow the given steps to implement image-inpainting using two different algorithms from the OpenCV-Python library:

1. Read the RGB image and the grayscale mask image:

im = cv2.imread('images/cat.png')mask = cv2.imread('images/cat_mask.png',0)

2. Binarize the mask image using threshold:

_, mask = cv2.threshold(mask, 100, 255, cv2.THRESH_BINARY)

3. Remove the masked-out pixels from the input image using bitwise_and with the binary mask image:

src = cv2.bitwise_and(im, im, mask=mask)mask = cv2.bitwise_not(mask)

4. Obtain the inpainted destination image returned by the cv2.inpaint() method using the cv2.INPAINT_NS algorithm:

dst1 = cv2.inpaint(src, mask, 5, cv2.INPAINT_NS)

5. Obtain the inpainted destination image returned by the ...