Visual Information Fidelity (VIF)ΒΆ

Module for calculating the visual information fidelity in pixel domain (VIFp) between two images.

Examples

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

Classes

VIFp([data_range, normalize])

Calculate the visual information fidelity in pixel domain (VIFp) between two images.