INPAINTING - TECHNIQUES AND APPLICATIONS

Abstract

The project entitled “INPAINTING - TECHNIQUES AND APPLICATIONS” deals with the study of inpainting, need of inpainting and different techniques to perform inpainting. Image inpainting is the process of seamlessly filling in holes in an image so as to preserve its overall continuity. Applications of this technique include the restoration of old photographs and damaged film; removal of superimposed text like dates, subtitles, or publicity; and the removal of entire objects from the image like microphones or wires in special effects. Digital inpainting is a relatively young research area in computer graphics, a large variety of techniques have been proposed since the concept was first introduced. In this paper, we analyze different digital inpainting algorithms for still images. The simultaneous propagation of texture and structure information achieved. The texture image repaired by the exemplar –based method; for the structure image, the Laplacian operator is used to enhance the structure information. The Laplacian image is inpainted by the exemplar-based algorithm and the Poisson equation based reconstruction is applied thereafter. In 8 pixel neighborhood method, central pixel value is identified by investigating surrounded 8 neighborhood pixel properties like color variation, repetition, intensity and direction. Finally, in edge-based inpainting technique, original image analyzed at encoder side so that some blocks removed during encoding. At decoder side, the image is restored by edgee-based inpainting and texture synthesis. A patch-based image compression framework is introduced which shows the inpainting method can be integrated into a patch-based image compression framework.