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

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Presentation transcript:

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

Puzzles Fill in the white places:

More Challenges Restore the photoRemove the cage

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

Multiple Scales: Image Pyramid

Multiscale Interpolation

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

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