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DOC: shows example of wavelet denoising

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Scott Sievert
2016-07-16 11:04:18 -05:00
parent fb8f09263c
commit dfdd0fbf5a
1 changed files with 15 additions and 9 deletions
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doc/examples/filters/plot_denoise.py
+15 -9
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@@ -29,7 +29,7 @@ import numpy as np
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
from skimage import data, img_as_float from skimage import data, img_as_float
from skimage.restoration import denoise_tv_chambolle, denoise_bilateral from skimage.restoration import denoise_tv_chambolle, denoise_bilateral, denoise_wavelet
astro = img_as_float(data.astronaut()) astro = img_as_float(data.astronaut())
@@ -38,7 +38,7 @@ astro = astro[220:300, 220:320]
noisy = astro + 0.6 * astro.std() * np.random.random(astro.shape) noisy = astro + 0.6 * astro.std() * np.random.random(astro.shape)
noisy = np.clip(noisy, 0, 1) noisy = np.clip(noisy, 0, 1)
fig, ax = plt.subplots(nrows=2, ncols=3, figsize=(8, 5), sharex=True, fig, ax = plt.subplots(nrows=2, ncols=4, figsize=(8, 5), sharex=True,
sharey=True, subplot_kw={'adjustable': 'box-forced'}) sharey=True, subplot_kw={'adjustable': 'box-forced'})
plt.gray() plt.gray()
@@ -52,16 +52,22 @@ ax[0, 1].set_title('TV')
ax[0, 2].imshow(denoise_bilateral(noisy, sigma_color=0.05, sigma_spatial=15)) ax[0, 2].imshow(denoise_bilateral(noisy, sigma_color=0.05, sigma_spatial=15))
ax[0, 2].axis('off') ax[0, 2].axis('off')
ax[0, 2].set_title('Bilateral') ax[0, 2].set_title('Bilateral')
ax[0, 3].imshow(denoise_wavelet(noisy, sigma=0.4*astro.std()))
ax[0, 3].axis('off')
ax[0, 3].set_title('Wavelet')
ax[1, 0].imshow(denoise_tv_chambolle(noisy, weight=0.2, multichannel=True)) ax[1, 1].imshow(denoise_tv_chambolle(noisy, weight=0.2, multichannel=True))
ax[1, 0].axis('off')
ax[1, 0].set_title('(more) TV')
ax[1, 1].imshow(denoise_bilateral(noisy, sigma_color=0.1, sigma_spatial=15))
ax[1, 1].axis('off') ax[1, 1].axis('off')
ax[1, 1].set_title('(more) Bilateral') ax[1, 1].set_title('(more) TV')
ax[1, 2].imshow(astro) ax[1, 2].imshow(denoise_bilateral(noisy, sigma_color=0.1, sigma_spatial=15))
ax[1, 2].axis('off') ax[1, 2].axis('off')
ax[1, 2].set_title('original') ax[1, 2].set_title('(more) Bilateral')
ax[1, 3].imshow(denoise_wavelet(noisy, sigma=0.6*astro.std()))
ax[1, 3].axis('off')
ax[1, 3].set_title('(more) Wavelet')
ax[1, 0].imshow(astro)
ax[1, 0].axis('off')
ax[1, 0].set_title('original')
fig.tight_layout() fig.tight_layout()