An Evaluation of Potential Functions for Regularized Image Deblurring

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8814)

Abstract

We explore utilization of seven different potential functions in restoration of images degraded by both noise and blur. Spectral Projected Gradient method confirms its excellent performance in terms of speed and flexibility for optimization of complex energy functions. Results obtained on images affected by different levels of Gaussian noise and different sizes of the Point Spread Functions, are presented. The Huber potential function demonstrates outstanding performance.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Buda Bajić
    • 1
  • Joakim Lindblad
    • 1
  • Nataša Sladoje
    • 1
    • 2
  1. 1.Faculty of Technical SciencesUniversity of Novi SadNovi SadSerbia
  2. 2.Centre for Image AnalysisUppsala UniversityUppsalaSweden

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