Inpainting refers to the art of restoring lost elements of image and reconstructing them from the background data. Filling the region of missing data of a picture from the data of the encompassing and reconstructing the image is that the basic work of Image Inpainting algorithms. Here in this paper we have compared two techniques for image inpainting namely median diffusion (median filtering) and directional median filtering. In both the techniques the area to be inpainted is manually selected by the user. In first method a rectangular region of D x D pixels is selected and the center pixel is replaced by the median of this block. In second method D x D block size is selected in the region to be inpainted and median in all direction is taken then the centre pixel is replaced by the median of these medians. The techniques are implemented in matlab and results are obtained and compared using standard images.

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Median Diffusion (median Filtering) And Directional Median Filtering