Ring Removal Interpolation

Description

Interpolation-based method working in the sinogram space to remove ring artifacts.

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: "[]"

size:
    visibility: basic
    dtype: "[float, list[float]]"
    description: Size of the median filter window. Greater is stronger.
    default: "31"

snr:
    visibility: basic
    dtype: float
    description: Ratio used to locate stripe artifacts. Greater is less sensitive.
    default: "3.0"

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

No citations

API

class RingRemovalInterpolation

detect_stripe(listdata, snr)

Algorithm 4 in the paper. To locate stripe positions.

Parameters

• listdata (1D normalized array.) –

• snr (Ratio (>1.0) used to detect stripe locations.) –

Returns

listmask

Return type

1D binary mask.

pre_process()

This method is called immediately after base_pre_process().

process_frames(data)

Combination of algorithm 4, 5, and 6 in the paper.

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).