Title :
Inpainting of Binary Images Using the Cahn–Hilliard Equation
Author :
Bertozzi, Andrea L. ; Esedoglu, Selim ; Gillette, Alan
Author_Institution :
Math. Dept., California Univ., Los Angeles, CA
Abstract :
Image inpainting is the filling in of missing or damaged regions of images using information from surrounding areas. We outline here the use of a model for binary inpainting based on the Cahn-Hilliard equation, which allows for fast, efficient inpainting of degraded text, as well as super-resolution of high contrast images
Keywords :
image resolution; Cah-Hilliard equation; binary images; high contrast images resolution; image inpainting; Boundary conditions; Degradation; Equations; Filling; Image denoising; Image resolution; Image restoration; Image segmentation; Interpolation; Mathematics; Binary images; Cahn–Hilliard equation; image inpainting; super-resolution; Algorithms; Artifacts; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Paintings;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2006.887728
