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A method for image quality evaluation considering adaptation to luminance of surround and noise in stimuli

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Abstract

This study intends to quantify the effects of the surround luminance and noise of a given stimulus on the shape of spatial luminance contrast sensitivity function (CSF) and to propose an adaptive image quality evaluation method. The proposed image evaluation method extends a model called square-root integral (SQRI). The non-linear behaviour of the human visual system was taken into account by using CSF. This model can be defined as the square root integration of multiplication between display modulation transfer function and CSF. The CSF term in the original SQRI was replaced by the surround adaptive CSF quantified in this study and it is divided by the Fourier transform of a given stimulus for compensating for the noise adaptation.

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Authors and Affiliations

  1. Samsung Electronics Comapny, Suwon, 120-749, Korea

    Youn Jin Kim

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  1. Youn Jin Kim
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Correspondence to Youn Jin Kim.

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Kim, Y.J. A method for image quality evaluation considering adaptation to luminance of surround and noise in stimuli. OPT REV 17, 459–466 (2010). https://doi.org/10.1007/s10043-010-0084-6

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  • DOI: https://doi.org/10.1007/s10043-010-0084-6

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