Noise Reduction Tools
Michael Alonge
malonge11 at gmail.com
Fri Jul 31 14:10:17 EDT 2015
Great thank you!
I have used some different filters and played around with some parameters.
I also have performed a bunch of iterations of these filters to get more
dramatic effects.
On Thursday, July 30, 2015 at 11:51:33 PM UTC-7, Emmanuelle Gouillart wrote:
>
> Hi Michael,
>
> did you try to change the value of the sigma_range parameter? 0.1 seems a
> bit low to me (ie, you only smooth a pixel with values very close to it).
> You can also try to change the value of the win_size parameter:
> increasing it will result in more smoothing.
>
> Also the bilateral filter is a very good generic-purpose denoising
> filter, but if you want to start denoising with a function with less
> parameters, you can try the median filter skimage.filters.median
>
> Best,
> Emmanuelle
>
> On Thu, Jul 30, 2015 at 04:26:55PM -0700, Michael Alonge wrote:
> > Here is the code:
>
> > import sys, math
> > import numpy as np
>
> > import matplotlib.pyplot as plt
> > from skimage import io, color, filters, data
> > from skimage.filters import threshold_otsu
> > import matplotlib.image as mpimg
> > from skimage.restoration import denoise_tv_chambolle, denoise_bilateral
> > import skimage
>
> > rawimg = open('1_A.png')
> > img = mpimg.imread(rawimg)
>
> > denoised_img = denoise_bilateral(img, sigma_range=0.1, sigma_spatial=15)
> > #denoised_img2 = denoise_tv_chambolle(img, weight=0.1,
> multichannel=True)
>
> > plt.imshow(denoised_img1)
> > plt.show()
>
> > On Thursday, July 30, 2015 at 4:23:34 PM UTC-7, Michael Alonge wrote:
>
> > Hello,
>
> > I have an image that I would like to do some smoothing over on.
>
> > Lets say there is a faint red spot on a white background. I would
> like to
> > apply some algorithm that will smooth over the red with the white
> pixels
> > surrounding the red pixels.
>
> > I thought this would be an application for the noise reduction tools
> ...
>
> > http://scikit-image.org/docs/dev/auto_examples/plot_denoise.html
>
> > ... but the picture output looked the same as before.
>
> > What is the best algorithm for smoothing over pixels by re assigning
> a
> > pixel value with the average value of the pixels surrounding it?
>
> > Thank you
>
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