1. Multiscale Interpolation for Image Completion Denis Simakov Computer Vision Lab Dept. of Computer Science and Applied Math Supervisor: Michal Irani

2. Puzzles Fill in the white places:

3. More Challenges Restore the photoRemove the cage

4. Terms Image Completion fill in missing parts Interpolation use nearby values to predict an unknown one

5. Multiple Scales: Image Pyramid

6. Multiscale Interpolation

7. A Problem Throw out every 2 nd point Aliasing (removing something you can get unwanted extra)

8. Things to Learn Digital Image Processing –Filtering: what you can do with images which are arrays of numbers –Sampling: how to throw out just the right amount of information Multiscale analysis: use different magnifying glasses; build pyramids MATLAB® as a research tool