PAPER ID:IJIM/V.2(VIII)/ 119-127 /21

AUTHOR : Gurhans Pal and Er. Vikas Sharma

TITLE: SURVEY ON DIFFERENT TECHNIQUES IN IMAGE INPAINTING

ABSTRACT:In image processing and computer vision we try to do the restoration with digital images, this is called image completion, image disocclusion or (digital) image inpainting. The goal of image inpainting is filling the target region in the image with visual plausible information. Filling this region with information that could have been in the image. There are several applications for image inpainting, one of these is the restoration of old images and movies by removing cracks from these images and movies. The removal of objects from images, like time stamps or a person. Another application can be image inpainting as the pre-process of other computer vision or image processing applications, an example of this is the use of image inpainting in image-based material editing. It can also be used to fill missing parts in image communication, for example image compression, lost packets retrieval and zooming. In this paper we are surveying with comparative look on different techniques on image inpainting.

KEYWORDS:Image inpainting

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