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In this paper, a novel image quality assessment, called Structure Analysis Image Quality Measurement (SAIM), is proposed by evaluating the difference of the distorted image from the reference image on three aspects: the average luminance, edge intensity and orientation. It is sensitive to edge change, which consists well with the perceptual characteristics of human vision. The experiment results demonstrate...
Under the assumption that the image information is determined mostly by the scene illumination and the objects structure, a new clutter metric, named the relative target complexity based clutter metric, for human visual systems is presented in this paper. The average intensity and the target complexity, independent of each other, are used to represent the image signal in the new metric. And its promise...
A method to quantify clutter in color images is presented. This method is based on a grayscale clutter metric, target structure similarity (TSSIM) metric, which showed the best correlation with human perception than the other available metrics. The proposed new metric is designed to measure the background clutter in the perceptually decorrelated quasi-uniform color space of CIELAB. The TSSIM metric...
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