Semi automatic image inpainting using partial JSEG segmentation

Abstract

Image inpainting has been an area of interest for researchers in this digital image processing era. All the methods of image inpainting start with a selection of the area which is needed to be inpainted. However, this selection of area or mask is to be done manually as there is no way for a machine to identify it. The process of creation of mask is cumbersome and time consuming and requires human expertise. Using image segmentation, the image can be divided into probable areas of inpainting and then the user can select area/s to generate the mask accurately and easily. In this paper we present a method to do selection of segments to generate mask which is further used to inpaint the image using exemplar based inpainting algorithm. The proposed scheme greatly reduces the overall inpainting time by drastically reducing the manual work of drawing the mask. Comparative results of masking object manually and by using proposed method are shown. Subjective analysis of inpainting using proposed method of masking and manual masking shows the effectiveness of the same.