17 January 2005 A perceptual quality metric for color-interpolated images
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An objective image quality metric can be used to compare the output of different image processing algorithms, but objective measures are not always well correlated with subjective image quality assessment; the latter implies the use of human observers, thus objective methods able to emulate the Human Visual System (HVS) better than the classical measures are preferred. In this paper a full reference objective metric, based on perceptual criteria and oriented to demosaiced images is proposed. The basic idea is to model the main artifacts produced by the interpolation process, taking into account the HVS sensibility to the typical aliasing and the zipper defects. The proposed technique has been compared to the DE94 CIELAB metric. Furthermore, two subjective tests have been performed; one relative to the color aliasing artifact and one to the zipper effect. The experimental results highlight that the quality scores obtained by the proposed measures have a similar trend to the DE94 CIELAB metric. Moreover, subjective tests are in accordance with the obtained results. This technique is useful to evaluate the quality of the interpolation techniques implemented in the image processing pipeline of different digital still cameras.
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Ivana Guarneri, Ivana Guarneri, Mirko Guarnera, Mirko Guarnera, Angelo Bosco, Angelo Bosco, Gaetano Santoro, Gaetano Santoro, } "A perceptual quality metric for color-interpolated images", Proc. SPIE 5668, Image Quality and System Performance II, (17 January 2005); doi: 10.1117/12.587624; https://doi.org/10.1117/12.587624


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