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Image Deblurring – A Case Study

In: Sparse and Redundant Representations

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  • Michael Elad

    (The Technion – Israel Institute of Technology, Computer Science Department)

Abstract

In this chapter we present an application of the Sparse-Land model to image deblurring, in order to demonstrate the applicative side of the above-discussed model and algorithms. As we show next, this long-studied problem can be handled quite effectively using the fundamentals of the model with hardly any changes. The content of this chapter follows closely with the work by M.A.T. Figueiredo and R.D. Nowak that appeared in ICIP 2005, and a later paper by M. Elad, B. Matalon, and M. Zibulevsky (2007). While there exists a more recent work that leads to somewhat improved results, the appeal in this work is the relative simplicity with which near-state-of-the-art results are obtained.

Suggested Citation

  • Michael Elad, 2010. "Image Deblurring – A Case Study," Springer Books, in: Sparse and Redundant Representations, chapter 0, pages 185-200, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-7011-4_10
    DOI: 10.1007/978-1-4419-7011-4_10
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