Skip to content

Objective Measure of Quality of Denoised Images

Notifications You must be signed in to change notification settings

Blair-Johnson/OMQDI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

OMQDI: Objective Measure of Quality of Denoised Images

This python module implements the Objective Quality Measure of Denoised Images, a no-reference image quality assessment metric developed for magnetic resonance images.

Usage

Pass a single-channel 2D noisy image array and a denoised version to OMQDI. The order of images does not affect the result.

from IQA import OMQDI
X = imread(noisey.png)
Y = imread(denoised.png)
omqdi_value, edge_preservation_factor, noise_suppression_factor = OMQDI(X, Y)

Example Images

References

[1] V. R. Simi, D. Reddy Edla, and J. Joseph, “A no-reference metric to assess quality of denoising for Magnetic Resonance images,” Biomedical Signal Processing and Control, vol. 70, p. 102962, 2021, doi: 10.1016/j.bspc.2021.102962.

About

Objective Measure of Quality of Denoised Images

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages