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Image inpainting is the art of predicting damaged regions of an image. Themanual way of image inpainting is a time consuming. Therefore, there must be anautomatic digital method for image inpainting that recovers the image from thedamaged regions. In this paper, a novel statistical image inpainting algorithmbased on Kriging interpolation technique was proposed. Kriging techniqueautomatically fills the damaged region in an image using the informationavailable from its surrounding regions in such away that it uses the spatialcorrelation structure of points inside the k-by-k block. Kriging has theability to face the challenge of keeping the structure and texture informationas the size of damaged region heighten. Experimental results showed that,Kriging has a high PSNR value when recovering a variety of test images fromscratches and text as damaged regions.

Image Inpainting by Kriging Interpolation Technique