Image Inpainting by Hyperbolic Selection of Pixels for Two Dimensional Bicubic Interpolations

TL;DR

This paper introduces a novel hyperbolic pixel selection method for image inpainting that leverages multi-directional bicubic interpolation to better preserve image details, especially corners, outperforming recent approaches.

Contribution

It proposes a new hyperbolic selection strategy combined with multi-directional bicubic interpolation for improved image inpainting.

Findings

Superior inpainting results compared to recent methods

Effective preservation of corner pixels

Enhanced restoration of old scanned images

Abstract

Image inpainting is a restoration process which has numerous applications. Restoring of scanned old images with scratches, or removing objects in images are some of inpainting applications. Different approaches have been used for implementation of inpainting algorithms. Interpolation approaches only consider one direction for this purpose. In this paper we present a new perspective to image inpainting. We consider multiple directions and apply both one-dimensional and two-dimensional bicubic interpolations. Neighboring pixels are selected in a hyperbolic formation to better preserve corner pixels. We compare our work with recent inpainting approaches to show our superior results.