Python skimage.restoration.denoise_tv_chambolle() Examples

The following are 7 code examples of skimage.restoration.denoise_tv_chambolle(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module skimage.restoration , or try the search function .
Example #1
Source File: nstyle.py    From dynamic-training-with-apache-mxnet-on-aws with Apache License 2.0 5 votes vote down vote up 
def SaveImage(img, filename, remove_noise=0.):
    logging.info('save output to %s', filename)
    out = PostprocessImage(img)
    if remove_noise != 0.0:
        out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
    io.imsave(filename, out)
Example #2
Source File: data_processing.py    From dynamic-training-with-apache-mxnet-on-aws with Apache License 2.0 5 votes vote down vote up 
def SaveImage(img, filename, remove_noise=0.02):
    logging.info('save output to %s', filename)
    out = PostprocessImage(img)
    if remove_noise != 0.0:
        out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
    io.imsave(filename, out)
Example #3
Source File: nstyle.py    From training_results_v0.6 with Apache License 2.0 5 votes vote down vote up 
def SaveImage(img, filename, remove_noise=0.):
    logging.info('save output to %s', filename)
    out = PostprocessImage(img)
    if remove_noise != 0.0:
        out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
    io.imsave(filename, out)
Example #4
Source File: data_processing.py    From training_results_v0.6 with Apache License 2.0 5 votes vote down vote up 
def SaveImage(img, filename, remove_noise=0.02):
    logging.info('save output to %s', filename)
    out = PostprocessImage(img)
    if remove_noise != 0.0:
        out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
    io.imsave(filename, out)
Example #5
Source File: data_augmentation.py    From Automated-Cardiac-Segmentation-and-Disease-Diagnosis with MIT License 5 votes vote down vote up 
def denoise_img_vol(image_vol, weight=.01):
    denoised_img = slicewise_bilateral_filter(image_vol)
    # denoised_img = denoise_tv_chambolle(image_vol, weight=weight, eps=0.0002, n_iter_max=200, multichannel=False)
    # denoised_img = denoise_tv_bregman(image_vol, weight=1./weight, max_iter=100, eps=0.001, isotropic=True)
    # print (np.linalg.norm(denoised_img-image_vol))
    return denoised_img
Example #6
Source File: nstyle.py    From SNIPER-mxnet with Apache License 2.0 5 votes vote down vote up 
def SaveImage(img, filename, remove_noise=0.):
    logging.info('save output to %s', filename)
    out = PostprocessImage(img)
    if remove_noise != 0.0:
        out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
    io.imsave(filename, out)
Example #7
Source File: data_processing.py    From SNIPER-mxnet with Apache License 2.0 5 votes vote down vote up 
def SaveImage(img, filename, remove_noise=0.02):
    logging.info('save output to %s', filename)
    out = PostprocessImage(img)
    if remove_noise != 0.0:
        out = denoise_tv_chambolle(out, weight=remove_noise, multichannel=True)
    io.imsave(filename, out)