Image Inpainting based on Image Mapping and Object Removal using Semi-Automatic method

The image inpainting process selects the object manually. We are dealing with semi-automatic image inpainting algorithm. In semi-automatic image inpainting method user manually gives an outline of an object which we want to remove or the damaged region which we want to recover and an inpainting algorithm will automatically fill that region. In the proposed method, segmentation is used for removing unwanted regions from the image. As the hole in the image to be inpainted is an unendorsed method, we are totaling the pixel in the holes by means of spatial contextual correspondences. The main importance of our approach is to utilize association of a pixel with its neighbors to get precise smoothness over the inpainted image. The region to be inpainted can be chosen initially by performing the segmentation approach. The region growing method is applied thus segmenting the regions. The multiple and single region selection is also applicable. Now the region to be inpainted is termed as a hole in the given image which is removed from the image. The omitted region can be packed using the correlation made by the information supplied by the neighbors and its information.