The ANALYSIS OF LOCAL IMAGE SHARPNESS BASED ON A FAST WAVELET-BASED ALGORITHM

Abstract

In this paper, a no-reference
perceptual sharpness metric based on a statistical
analysis of local edge gradients is presented. The
method takes properties of the human visual system
into account. Based on perceptual properties, a
relationship between the extracted statistical features
and the metric score is established to form a
Perceptual Sharpness Index (PSI). A comparison with
state-of-the-art metrics shows that the proposed
method correlates highly with human perception and
exhibits low computational complexity. Finally, a
scalar index corresponding to the image’s overall
sharpness is computed via a weighted average of
these log-energies. Testing on several image
databases demonstrates that, despite its simplicity,
FISH is competitive with the currently bestperforming techniques both for sharpness estimation
and for no-reference image quality assessment.