Introduction - If you have any usage issues, please Google them yourself
A novel feature similarity
(FSIM) index for full reference IQA is proposed based on the fact that
human visual system (HVS) understands an image mainly according to
its low-level features. Specifically, the phase congruency (PC), which is a
dimensionless measure of the significance of a local structure, is used as the
primary feature in FSIM. Considering that PC is contrast invariant while
the contrast information does affect HVS’ perception of image quality, the
image gradient magnitude (GM) is employed as the secondary feature in
FSIM. PC and GM play complementary roles in characterizing the image
local quality. After obtaining the local quality map, we use PC again as a
weighting function to derive a single quality score. Extensive experiments
performed on six benchmark IQA s demonstrate that FSIM can
achieve much higher consistency with the subjective uations than
state-of-the-art IQA metrics.