Abstract
Combined the traditional gray image quality assessment method described by the mean square error and peak signal to noise ratio and color differences to describe color image difference,a color image quality assessment method described by the color difference MSE and color difference PSNR statistical parameters based on human vision system is proposed,which is validated by the experiments.Experimental results match the subjective image quality assessment provided by LIVE subjective image library,University of Texas at Austin very much,which shows that the method not only effectively reflects the difference among the local location or points from the statistical significance,and at the same time,which improves the consistency between the objective evaluation and subjective evaluation because the statistical method takes into account the human vision system characteristics.
Published Version
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