1. Feature-preserving Image Restoration from Adaptive Triangular Meshes Image Triangulation Canny’s points Attached to the boundary of features Determine sampling density by PCA Halftoning points Placed on non-edge regions Uniform points Placed where no points found in neighborhood Triangular mesh Delaunay triangulation Ke Liu, Ming Xu and Zeyun Yu Department of Computer Science

2. Feature-preserving Image Restoration from Adaptive Triangular Meshes

3. Image resolution:256*256 Mesh size:4,077 nodes and 8,048 triangles Sampling rate (%):6.22% Shape parameter:0.5 PSNR (db):28.2088