Accelerated Wavelet-Regularized Deconvolution For 3-D Fluorescence Microcopy

Modern deconvolution algorithms are often specified as minimization problems involving a non-quadratic regularization functional. When the latter is a wavelet-domain l(1)-norm that favors sparse solutions, the problem can be solved by a simple iterative shrinkage/thresholding algorithm (ISTA). This approach provides state-of-the-art results in 2-D, but is harder to deploy in 3-D because of its slow convergence.


Published in:
2010 Ieee International Conference On Image Processing, 581-584
Presented at:
IEEE International Conference on Image Processing, Hong Kong, PEOPLES R CHINA, Sep 26-29, 2010
Year:
2010
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
ISBN:
978-1-4244-7994-8
Keywords:
Laboratories:




 Record created 2011-12-16, last modified 2018-03-17

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