Open Access

Blind Image Deblurring Driven by Nonlinear Processing in the Edge Domain

  • Stefania Colonnese1Email author,
  • Patrizio Campisi2,
  • Gianpiero Panci1 and
  • Gaetano Scarano1
EURASIP Journal on Advances in Signal Processing20042004:352184

Received: 2 September 2003

Published: 2 December 2004


This work addresses the problem of blind image deblurring, that is, of recovering an original image observed through one or more unknown linear channels and corrupted by additive noise. We resort to an iterative algorithm, belonging to the class of Bussgang algorithms, based on alternating a linear and a nonlinear image estimation stage. In detail, we investigate the design of a novel nonlinear processing acting on the Radon transform of the image edges. This choice is motivated by the fact that the Radon transform of the image edges well describes the structural image features and the effect of blur, thus simplifying the nonlinearity design. The effect of the nonlinear processing is to thin the blurred image edges and to drive the overall blind restoration algorithm to a sharp, focused image. The performance of the algorithm is assessed by experimental results pertaining to restoration of blurred natural images.

Keywords and phrases

blind image restorationBussgang deconvolutionnonlinear processingRadon transform

Authors’ Affiliations

Dipartimento Infocom, Università degli Studi di Roma "La Sapienza"
Dipartimento Elettronica Applicata, Università degli Studi "Roma Tre"


© Colonnese et al. 2004