Robust defocus blur identification in the context of blind image quality assessment

Authors:
Izak van Zyl Marais;Willem Herman Steyn
Affiliations:
University of Stellenbosch, Stellenbosch 7600, South Africa;University of Stellenbosch, Stellenbosch 7600, South Africa
Venue:
Image Communication
Year:
2007

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Abstract

A defocus blur metric for use in blind image quality assessment is proposed. Blind image deconvolution methods are used to determine the metric. Existing direct deconvolution methods based on the cepstrum, bicepstrum and on a spectral subtraction technique are compared across 210 images. A variation of the spectral subtraction method, based on a power spectrum surface of revolution, is proposed and is found to compare favourably with existing direct deconvolution methods for defocus blur identification. The method is found to be especially useful when distinguishing between in-focus and out-of-focus images.