I created a corresponding strokes with Paint tool. My image is degraded with some black strokes (I added manually). We need to create a mask of same size as that of input image, where non-zero pixels corresponds to the area which is to be inpainted. This algorithm is enabled by using the flag, cv.INPAINT_NS. 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. Inpainting"** by Bertalmio, Marcelo, Andrea L. Second algorithm is based on the paper **"Navier-Stokes, Fluid Dynamics, and Image and Video This algorithm is enabled by using the flag, cv.INPAINT_TELEA. INPAINT SHORTCUTS MANUALFMM 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. This image should have the same spatial dimensions (width and height) as the input image. Presumably, this image is damaged in some manner, and we need to apply inpainting algorithms to fix it The mask image, which indicates where in the image the damage is. Both can be accessed by the same function, cv.inpaint()įirst algorithm is based on the paper **"An Image Inpainting Technique Based on the Fast Marching The input image we wish to inpaint and restore. Several algorithms were designed for this purpose and OpenCV provides two of them.
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