Motion Deblurring in images

Computer Vision


Project Description:

One of the most common artifacts in digital photography is motion blur caused by camera shake. In many situations there simply is not enough light to avoid using a long shutter speed and the inevitable result is that many of our snapshots come out blurry and disappointing. This project is based on an article written by Qi Shan et al. that present a new algorithm for removing motion blur from a single image. They present a probabilistic model and optimization scheme that produce a high quality deblurred results in low computation time.

Project Goal:

In this project we will implement the article written by Qi Shan et al. and try to improve it in its weakness points.

Project Details:
  1. Supervisor:
    Anna Oyzerman
    Phone: 04-8295741
  2. Requirements:
    Image Processing
  3. Project status:
    Taken by the students Hen Harari and Tamer Khawaja
    Project web site
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