Title :
A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis
Author :
Feichtenhofer, Christoph ; Fassold, H. ; Schallauer, P.
Author_Institution :
Inst. of Electr. Meas. & Meas. Signal Process., Graz Univ. of Technol., Graz, Austria
Abstract :
In this letter, 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. In contrast to existing metrics, the PSI performs well for a wide range of blurriness and shows a high degree of invariance for different image contents.
Keywords :
computational complexity; image processing; statistical analysis; PSI; computational complexity; human perception; local edge gradient analysis; no-reference perceptual sharpness metric; perceptual image sharpness metric; perceptual sharpness index; statistical analysis; Computational complexity; Image edge detection; Image processing; Image quality; Statistical analysis; Image blur; image quality assessment; image sharpness; no-reference; perceptual; sharpness metric;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2013.2248711