Review and Potential of Various Approaches for Execution of Image Inpainting
نویسنده
چکیده
Image in-painting is the art of restoring lost and selected parts of an image based on the background information in such a way so that the change is not observed by the observer. Image In-painting is very important and emerging field of research in image processing. Inpainting algorithm have numerous applications such as rebuilding of damaged photographs & films, heritage preservation, removal of superimposed text, removal/replacement of unwanted objects, red eye correction, image coding etc. The main goal of the Inpainting algorithm is to modify the damaged region of an image. The basic idea behind the technique is to automatically fill in lost or missing parts of an image using information from the surrounding/neighbouring area. There have been several techniques proposed for the image inpainting to restore the damaged image. In this paper, we provide a detailed review on different techniques used for image inpainting such as PDE based image inpainting, Exemplar based image inpainting, Texture synthesis based image inpainting, Hybrid inpainting ,Semi-automatic and Fast inpainting.
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