Inpainting of Structural Reconstruction of Monuments Using Singular Value Decomposition Refinement of Patches
Dept of E&C, KLS VDIT, Anupama Sanjay Awati, Meenakshi Ravindra Patil · International Journal of Image Graphics and Signal Processing · 2019
Image Inpainting of ruined historic monuments and heritage sites can help in visualizing how these may have existed in the past.An inpainted image of a monument can serve as a tool for physical reconstruction purpose.The purpose of the proposed method is to fill cracks and gaps of selected damaged regions in heritage monuments by exploiting the statistical properties of foreground and background along with the spatial location of the damage in the image of the monuments.The patch based image inpainting algorithm is improved by segmenting the image using K means clustering to search the candidate patches in relevant source region only.Segmentation improves patch searching in terms of both quality and time.The priority of the patch to fill is decided based on the standard deviation of the patch around destination pixel.K n similar patches are selected from the source region based on minimum value of sum squared distance.The selected patches are refined using an efficient patch refinement scheme using higher order singular value decomposition to capture underlying pattern among the candidate source patches.The threshold for refinement is selected by using minimum and maximum value of standard deviation of the target patch.This eliminates random variation and unwanted artifacts.Experimental results carried on a large number of natural images and comparisons with well-known existing methods demonstrate the efficacy and superiority of the proposed method.