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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 3, Iss. 12 — Dec. 1, 2012
  • pp: 3231–3239

Dual tree complex wavelet transform based denoising of optical microscopy images

Ufuk Bal  »View Author Affiliations


Biomedical Optics Express, Vol. 3, Issue 12, pp. 3231-3239 (2012)
http://dx.doi.org/10.1364/BOE.3.003231


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Abstract

Photon shot noise is the main noise source of optical microscopy images and can be modeled by a Poisson process. Several discrete wavelet transform based methods have been proposed in the literature for denoising images corrupted by Poisson noise. However, the discrete wavelet transform (DWT) has disadvantages such as shift variance, aliasing, and lack of directional selectivity. To overcome these problems, a dual tree complex wavelet transform is used in our proposed denoising algorithm. Our denoising algorithm is based on the assumption that for the Poisson noise case threshold values for wavelet coefficients can be estimated from the approximation coefficients. Our proposed method was compared with one of the state of the art denoising algorithms. Better results were obtained by using the proposed algorithm in terms of image quality metrics. Furthermore, the contrast enhancement effect of the proposed method on collagen fıber images is examined. Our method allows fast and efficient enhancement of images obtained under low light intensity conditions.

© 2012 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.7410) Image processing : Wavelets

ToC Category:
Image Processing

History
Original Manuscript: August 1, 2012
Revised Manuscript: November 7, 2012
Manuscript Accepted: November 9, 2012
Published: November 13, 2012

Citation
Ufuk Bal, "Dual tree complex wavelet transform based denoising of optical microscopy images," Biomed. Opt. Express 3, 3231-3239 (2012)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-3-12-3231


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