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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 20 — Oct. 7, 2013
  • pp: 23307–23323

Robust destriping method with unidirectional total variation and framelet regularization

Yi Chang, Houzhang Fang, Luxin Yan, and Hai Liu  »View Author Affiliations

Optics Express, Vol. 21, Issue 20, pp. 23307-23323 (2013)

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Multidetector imaging systems often suffer from the problem of stripe noise and random noise, which greatly degrade the imaging quality. In this paper, we propose a variational destriping method that combines unidirectional total variation and framelet regularization. Total-variation-based regularizations are considered effective in removing different kinds of stripe noise, and framelet regularization can efficiently preserve the detail information. In essence, these two regularizations are complementary to each other. Moreover, the proposed method can also efficiently suppress random noise. The split Bregman iteration method is employed to solve the resulting minimization problem. Comparative results demonstrate that the proposed method significantly outperforms state-of-the-art destriping methods on both qualitative and quantitative assessments.

© 2013 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration

ToC Category:
Image Processing

Original Manuscript: August 28, 2013
Revised Manuscript: September 11, 2013
Manuscript Accepted: September 11, 2013
Published: September 24, 2013

Yi Chang, Houzhang Fang, Luxin Yan, and Hai Liu, "Robust destriping method with unidirectional total variation and framelet regularization," Opt. Express 21, 23307-23323 (2013)

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