OpenCV provides two image inpainting methods, as follows:
- cv.INPAINT_TELEA is based on the paper An Image Inpainting Technique Based on the Fast Marching Method, by Alexandru Telea in 2004. This method replaces the pixel in the neighborhood to be inpainted by the normalized weighted sum of all the known pixels in the neighborhood. More weight is given to those pixels lying near to the point and on the boundary contours. Once a pixel has been inpainted, it moves to the next nearest pixel using the fast marching method:
import numpy as np
import cv2 as cv
img = cv.imread('/home/.../krishmark.JPG')
mask = cv.imread('/home/.../markonly.JPG',0)
dst = cv.inpaint(img,mask,3,cv.INPAINT_TELEA)
cv.imshow('dst',dst)
cv.waitKey(0)
cv.destroyAllWindows()
- cv.INPAINT_NS is based on the paper Navier-Stokes, Fluid Dynamics, and Image and...
