Journal of Applied Sciences ›› 2013, Vol. 31 ›› Issue (2): 170-176.doi: 10.3969/j.issn.0255-8297.2013.02.011

• Signal and Information Processing • Previous Articles     Next Articles

No-reference Image Quality Assessment Based on Parameters of Wavelet Coefficients Distribution

LI Hong-jun   

  1. School of Electronic Information Engineering, Nantong University, Nantong 226019, Jiangsu Province, China
  • Received:2012-02-24 Revised:2012-11-01 Online:2013-03-25 Published:2012-11-01

Abstract: We propose a no-reference method for image quality assessment to be used to various types of image distortions. We assess the image using statistic information of natural scenes, and use the generalized Gaussian density model to fit the marginal distribution of wavelet coefficients. Degree of image distortion is measured with the parameter values in the generalized Gaussian density model. Objective assessment of the image quality is obtained by quantifying the difference between the values of scale and shape parameters. Experimental results are consistent with subjective assessments, showing that the proposed method can be applied to most common types of image distortion to give good prediction.

Key words: no-reference image quality assessment, wavelet coefficients, generalized Gaussian density

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