Blind image quality assessment for Gaussian blur images using exact Zernike moments and gradient magnitude

Abstract

Features that exhibit human perception on the effect of blurring on digital images are useful in constructing a blur image quality metric. In this paper, we show some of the exact Zernike moments (EZMs) that closely model the human quality scores for images of varying degrees of blurriness can be used to measure these distortions. A theoretical framework is… (More)
DOI: 10.1016/j.jfranklin.2016.08.012

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