Chapter 6. Image Restoration

  1. Maria Petrou1 and
  2. Panagiota Bosdogianni2

Published Online: 17 OCT 2001

DOI: 10.1002/0470841907.ch6

Image Processing: The Fundamentals

Image Processing: The Fundamentals

How to Cite

Petrou, M. and Bosdogianni, P. (2001) Image Restoration, in Image Processing: The Fundamentals, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470841907.ch6

Author Information

  1. 1

    University of Surrey, Guildford, UK

  2. 2

    Technical University of Crete, Chania, Greece

Publication History

  1. Published Online: 17 OCT 2001

ISBN Information

Print ISBN: 9780471998839

Online ISBN: 9780470841907



  • image restoration;
  • geometric distortion;
  • motion blurring;
  • inverse filtering;
  • Wiener filtering;
  • constrained matrix inversion;
  • deconvolution


This chapter starts with the restoration of images that are geometrically distorted. It then proceeds to deal with the restoration of the grey level distortions of an image using linear techniques. It first shows how the point spread function of the degradation process may be defined covering cases like blurring due to linear and accelerated motion, and the use of calibration charts of sharp step edges. Inverse filtering, Wiener filtering in 2D and constrained matrix inversion are dealt with in depth using numerous fully worked out examples. All methods are compared by being applied to the same image in the presence or absence of noise.