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• W2949610083 abstract "This paper deals with color image quality assessment in the reduced-reference framework based on natural scenes statistics. In this context, we propose to model the statistics of the steerable pyramid coefficients by a Multivariate Generalized Gaussian distribution (MGGD). This model allows taking into account the high correlation between the components of the RGB color space. For each selected scale and orientation, we extract a parameter matrix from the three color components subbands. In order to quantify the visual degradation, we use a closed-form of Kullback-Leibler Divergence (KLD) between two MGGDs. Using TID 2008 benchmark, the proposed measure has been compared with the most influential methods according to the FRTV1 VQEG framework. Results demonstrates its effectiveness for a great variety of distortion type. Among other benefits this measure uses only very little information about the original image." @default.
• W2949610083 created "2019-06-27" @default.
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• W2949610083 date "2014-11-29" @default.
• W2949610083 modified "2023-09-23" @default.
• W2949610083 title "Color image quality assessment measure using multivariate generalized Gaussian distribution" @default.
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• W2949610083 hasPublicationYear "2014" @default.
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