Most Apparent Distortion (MAD)

Module for the most apparent distortion (MAD) metric.

Notes

The code is adapted from the original MATLAB code available under [1].

References

[1]

Larson, E. C. (2008). http://vision.eng.shizuoka.ac.jp/mad (version 2011_10_07)

Examples

>>> import numpy as np
>>> from viqa import MAD
>>> img_r = np.random.rand(256, 256)
>>> img_m = np.random.rand(256, 256)
>>> mad = MAD()
>>> mad.score(img_r, img_m, data_range=1)

Functions

most_apparent_distortion(img_r, img_m[, ...])	Calculate the most apparent distortion (MAD) between two images.
most_apparent_distortion_3d(img_r, img_m[, dim])	Calculate the MAD for a 3D image.

Classes

MAD([data_range, normalize])

Class to calculate the most apparent distortion (MAD) between two images.