Perceptual Image Quality Assessment by Independent Feature Detector

Matlab codes for the Independent Feature Similarity (IFS) quality index.

This package contains Matlab codes for the Independent Feature Similarity (IFS) quality index.
IFS is a new algorithm for evaluating perceptual quality of color images.
For quality evaluation, you should load feature detector (iW.mat) before running 'IFS'.
EXAMPLE:
load('iW.mat'); % load the feature detector which is in 'iW.mat'
score = IFS(refImg, disImg, iW); % refImg and disImg respectively denote the reference and distorted color images
The quality scores are between 0 and 1, where 1 represents the same quality as the reference image.

Plase use the citation provided below if it is useful to your research:

Hua-wen Chang, Qiu-wen Zhang, Qing-gang Wu, and Yong Gan,"Perceptual image quality assessment by independent feature detector", Neurocomputing, vol. 151, pp. 1142-1152, March 2015