Computer and Modernization

Previous Articles     Next Articles

Noreference Image Quality Assessment Based on Spatial Natural Scene Statistics

  

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2014-10-30 Online:2015-02-28 Published:2015-03-06

Abstract:

In order to measure the image quality of different distortion types, a spatial natural scene statistics (NSS) based model of no reference image quality assessment
method is proposed. The normalized brightness coefficients of natural images obey the generalized Gauss distribution and the proposed method uses these features. The proposed
method can be described as follows. Firstly, the gradient values of natural images are computed in the spatial domain, the ROI (regions of interest) of natural images are
selected by gradient density, the statistical characteristics of natural images are extracted and the multivariate Gauss distribution (MVG) model is established. Secondly, the
same MVG model of test images is established. At last, the quality of test images is evaluated by calculating the distance of the MVG model between test images and natural
images. Experimental results show that the proposed method is more consistent with human subjective perception.

Key words: noreference image quality assessment, Natural Scene Statistics(NSS), region of interest, gradient density

CLC Number: