Multiscale, dictionary-based speckle denoising
Publication
, Conference
Krishnamurthy, K; Mrozack, A; Maggioni, M; Brady, D
Published in: Optics Infobase Conference Papers
January 1, 2013
We propose a multiscale, dictionary-based, data-adaptive estimation method to recover intensities from multiplicative, speckle data. The proposed method preserves the edges and textures in the underlying image while smoothing intensities in homogenous regions. © OSA 2013.
Duke Scholars
Published In
Optics Infobase Conference Papers
DOI
EISSN
2162-2701
Publication Date
January 1, 2013
Citation
APA
Chicago
ICMJE
MLA
NLM
Krishnamurthy, K., Mrozack, A., Maggioni, M., & Brady, D. (2013). Multiscale, dictionary-based speckle denoising. In Optics Infobase Conference Papers. https://doi.org/10.1364/cosi.2013.cm2c.2
Krishnamurthy, K., A. Mrozack, M. Maggioni, and D. Brady. “Multiscale, dictionary-based speckle denoising.” In Optics Infobase Conference Papers, 2013. https://doi.org/10.1364/cosi.2013.cm2c.2.
Krishnamurthy K, Mrozack A, Maggioni M, Brady D. Multiscale, dictionary-based speckle denoising. In: Optics Infobase Conference Papers. 2013.
Krishnamurthy, K., et al. “Multiscale, dictionary-based speckle denoising.” Optics Infobase Conference Papers, 2013. Scopus, doi:10.1364/cosi.2013.cm2c.2.
Krishnamurthy K, Mrozack A, Maggioni M, Brady D. Multiscale, dictionary-based speckle denoising. Optics Infobase Conference Papers. 2013.
Published In
Optics Infobase Conference Papers
DOI
EISSN
2162-2701
Publication Date
January 1, 2013