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[MRG+1] more closesly match the BayesShrink paper in _wavelet_threshold #2241

Merged
merged 16 commits into from
Sep 8, 2016
Merged

[MRG+1] more closesly match the BayesShrink paper in _wavelet_threshold #2241

merged 16 commits into from
Sep 8, 2016

Commits on Sep 6, 2016

  1. DOC: correct SUREShrink->BayesShrink in the _wavelet_threshold docstring

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  2. FIX: _wavelet_threshold: do not denoise the approximation coefficients

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  3. ENH: BayesShrink thresholds are computed for each coefficient array 

    This matches what is done in the Chang et. al. reference from the DocString.
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  4. ENH: avoid BayesShrink thresholding on extremely coarse resolution co… 

    …efficient arrays.

This is necessary because these arrays may be extremely small leading to unreliable variance estimation and
noticeable blocklike artifacts in the denoised image.
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  5. ENH: make wavelet_levels a parameter to _wavelet_threshold

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  6. TST: fix test: energy of x is np.sum(x**2) not x.sum()**2

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  7. STY: update style to common skimage conventions

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  8. TST: test _wavelet_threshold with a single scalar value for all levels

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  9. TST: fix call to _wavelet_threshold

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  10. ENH: make wavelet_levels an optional parameter to denoise_wavelet

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  11. STY: fix typo in comments

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  12. TST: add tests for custom wavelet decomposition levels

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Commits on Sep 7, 2016

  1. STY: move multichannel argument to last in denoise_wavelet

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  2. MAINT: reuse code from _sigma_est_dwt within _wavelet_threshold

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Commits on Sep 8, 2016

  1. DOC: fix order of parameters in docstring

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  2. make multichannel the last argument of estimate_sigma

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