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A Criterion of Objectively Assessing Image Quality Based on Fractal Dimension
基于分形维数的图像质量客观评价方法研究

Keywords: quality assessment,fractal dimension,lacunarity,SSIM,PSNR
质量评价
,分形维数,空隙度,结构相似法,峰值信噪比

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Abstract:

It is very urgent to build an evaluation criterion in image compression, enhancement, restoration and analysis fields.In this paper, fractal dimension is utilized to be an image quality assessment index and describe image luminance and texture characteristics from non-linear aspects.Lacunarity changes can also describe image quality.Therefore fractal dimension difference and lacunarity difference are integrated into one single mathematics model by linear regression analysis.Experiment results show that against traditional model such as PSNR, SSIM and so on, the proposed approach can not only assess different distortion types, same distortion type with different distortion levers accurately, but also has stronger correlation with MOS, more agreement with the perceptual of human beings, and can assess image quality accurately and effectively.

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