# Copyright 2014 Diamond Light Source Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
.. module:: denoise_bregman_filter
:platform: Unix
:synopsis: A plugin to denoise 2D slices of data by using the Split Bregman \
to solve the Total Variation ROF model
.. moduleauthor:: Imanol Luengo <scientificsoftware@diamond.ac.uk>
"""
import logging
import numpy as np
from skimage.restoration import denoise_tv_bregman
from savu.plugins.filters.base_filter import BaseFilter
from savu.plugins.driver.cpu_plugin import CpuPlugin
from savu.plugins.utils import register_plugin
[docs]@register_plugin
class DenoiseBregmanFilter(BaseFilter, CpuPlugin):
def __init__(self):
logging.debug("Starting Denoise Bregman Filter")
super(DenoiseBregmanFilter, self).__init__("DenoiseBregmanFilter")
[docs] def get_filter_padding(self):
return {}
[docs] def process_frames(self, data):
data = data[0]
logging.debug("Running Denoise")
weight = self.parameters['weight']
max_iter = self.parameters['max_iterations']
eps = self.parameters['error_threshold']
isotropic = self.parameters['isotropic']
data = np.nan_to_num(data[0, ...])
result = denoise_tv_bregman(np.float64(data), weight, max_iter=max_iter,
eps=eps, isotropic=isotropic)
return result
[docs] def get_max_frames(self):
return 'multiple'