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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 10 — Apr. 1, 2014
  • pp: B167–B171

Moment domain representation of nonblind image deblurring

Ahlad Kumar, Raveendran Paramesran, and Barmak Honarvar Shakibaei  »View Author Affiliations

Applied Optics, Vol. 53, Issue 10, pp. B167-B171 (2014)

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In this paper, we propose the use of geometric moments to the field of nonblind image deblurring. Using the developed relationship of geometric moments for original and blurred images, a mathematical formulation based on the Euler–Lagrange identity and variational techniques is proposed. It uses an iterative procedure to deblur the image in moment domain. The theoretical framework is validated by a set of experiments. A comparative analysis of the results obtained using the spatial and moment domains are evaluated using a quality assessment method known as the Blind/Reference-less Image Spatial Quality Evaluator (BRISQUE). The results show that the proposed method yields a higher quality score when compared with the spatial domain method for the same number of iterations.

© 2014 Optical Society of America

OCIS Codes
(100.1830) Image processing : Deconvolution
(100.2960) Image processing : Image analysis
(100.2980) Image processing : Image enhancement
(100.1455) Image processing : Blind deconvolution

Original Manuscript: November 4, 2013
Revised Manuscript: January 30, 2014
Manuscript Accepted: January 30, 2014
Published: March 7, 2014

Ahlad Kumar, Raveendran Paramesran, and Barmak Honarvar Shakibaei, "Moment domain representation of nonblind image deblurring," Appl. Opt. 53, B167-B171 (2014)

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