Super-Resolution from a Single Image
Computer Graphics in 2D


Project Description:

The goal of Super-Resolution methods is to recover a high resolution image from one or more low resolution input images. Our approach attempts to recover the resolution increase, based on the observation that patches in a natural image tend to recur many times inside the image within and across scales. We propose to combine 2 existing SR methods and show that this approach can be applied to obtain super resolution from as little as a single image.

Project Goal:

In this project we will develop algorithm and create an application.

Project Details:
  1. Supervisor:
    Anna Oyzerman

  2. Field:
    Computer Graphics in 2D
  3. Requirements:
    Image Processing
  4. Project status:
    Taken by the students Gal Graif and Shani Zlotolov
  5. Visit:
    Project web site
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