Image Recovery Based on Effective Image Completion

Exemplar-based inpainting algorithm is a model used for large region removal. It combines the advantages of both inpainting and texture synthesis. This algorithm usually requires large amounts of computational cost for priority calculation and matching iteratively. However, for relatively flat damaged areas, the simple interpolation can work well for image restoration. Inspired by the advantages of the color interpolation and the exemplar-based inpainting methods, in this paper, we propose an adaptive restored approach based on gradient-based analysis. The evaluation shows that our method can avoid blurring artifacts and preserving correct propagated structures in the faster way.