![]() ![]() Once they are obtained, color is filled to reduce minimum variance in that area. For this, some methods from fluid dynamics are used. It continues isophotes (lines joining points with same intensity, just like contours joins points with same elevation) while matching gradient vectors at the boundary of the inpainting region. It first travels along the edges from known regions to unknown regions (because edges are meant to be continuous). This algorithm is based on fluid dynamics and utilizes partial differential equations. The second method, Navier-Stokes, is based on fluid dynamics. FMM ensures those pixels near the known pixels are inpainted first, so that it just works like a manual heuristic operation. Once a pixel is inpainted, it moves to next nearest pixel using Fast Marching Method. ![]() More weightage is given to those pixels lying near to the point, near to the normal of the boundary and those lying on the boundary contours. Selection of the weights is an important matter. This pixel is replaced by normalized weighted sum of all the known pixels in the neighbourhood. It takes a small neighbourhood around the pixel on the neighbourhood to be inpainted. Algorithm starts from the boundary of this region and goes inside the region gradually filling everything in the boundary first. Consider a region in the image to be inpainted. To quote the OpenCV documentation, the Telea method: cv2.INPAINT_NS: Navier-stokes, Fluid dynamics, and image and video inpainting (BertalmÃo et al., 2001).cv2.INPAINT_TELEA: An image inpainting technique based on the fast marching method (Telea, 2004). ![]()
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