Mtf Deconvolution

Description

Method to correct the point-spread-function effect. Working on raw projections and flats.

• Plugin documention and guidelines on use

Parameters

in_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description:
        summary: A list of the dataset(s) to process.
        verbose: A list of strings, where each string gives the name of a dataset that was either specified by a loader plugin or created as output to a previous plugin.  The length of the list is the number of input datasets requested by the plugin.  If there is only one dataset and the list is left empty it will default to that dataset.
    default: "[]"

out_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description:
        summary: A list of the dataset(s) to create.
        verbose: A list of strings, where each string is a name to be assigned to a dataset output by the plugin. If there is only one input dataset and one output dataset and the list is left empty, the output will take the name of the input dataset. The length of the list is the number of output datasets created by the plugin.
    default: "[]"

file_path:
    visibility: basic
    dtype: "[None,filepath]"
    description: "Path to file containing a 2D array of a MTF function. File formats are 'npy', or 'tif'."
    default: None

pad_width:
    visibility: basic
    dtype: int
    description: Pad the image before the deconvolution.
    default: "128"

Key

visibility: The visibility level of the parameter
dtype: The type of data
description: A short explanation of the parameter
default: The default value
options: A list of permitted values
dependency: The name of the parameter and value which this parameter depends upon
range: A guide for the range of the parameter

Citations

Preprocessing techniques for removing artifacts in synchrotron-based tomographic images by Vo, Nghia T et al.

Bibtex

@inproceedings{vo2019preprocessing,
  title={Preprocessing techniques for removing artifacts in synchrotron-based tomographic images},
  author={Vo, Nghia T and Atwood, Robert C and Drakopoulos, Michael},
  booktitle={Developments in X-Ray Tomography XII},
  volume={11113},
  pages={111131I},
  year={2019},
  organization={International Society for Optics and Photonics}
  publisher = {SPIE},
  pages = {309 -- 328},
  year = {2019},
  doi = {10.1117/12.2530324},
  URL = {https://doi.org/10.1117/12.2530324}
}

Endnote

%0 Conference Proceedings
%T Preprocessing techniques for removing artifacts in synchrotron-based tomographic images
%A Vo, Nghia T
%A Atwood, Robert C
%A Drakopoulos, Michael
%B Developments in X-Ray Tomography XII
%V 11113
%P 111131I
%D 2019
%I International Society for Optics and Photonics

API

class MtfDeconvolution

check_file_path(file_path)

get_citation_information()

get_conf_path()

load_image(file_path)

Load data from an image.

pre_process()

This method is called immediately after base_pre_process().

process_frames(data)

This method is called after the plugin has been created by the pipeline framework and forms the main processing step

Parameters

data (list(np.array)) – A list of numpy arrays for each input dataset.

psf_correction(mat, win, pad_width)

setup()

This method is first to be called after the plugin has been created. It determines input/output datasets and plugin specific dataset information such as the pattern (e.g. sinogram/projection).