JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (3): 15-21.doi: 10.6040/j.issn.1672-3961.3.2014.172

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An image quality assessment method based on Shearlet transform

REN Yuling, LU Wen, XU Hongqiang, HE Lihuo   

  1. School of Electronic Engineering, Xidian University, Xi'an 710071, Shaanxi, China
  • Received:2014-10-08 Revised:2015-05-11 Online:2015-06-20 Published:2014-10-08

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Abstract: An objective image quality assessment metric was proposed by combing the ability of shearlet transform to capture the visual perception feature and the properties of human visual system to describe the degradation of image quality. First, the shearlet transformation was applied to reference and distorted images to obtain the subband coefficients of different scales, and then the contrast sensitivity masking was employed to obtain the subband coefficients of different scales of same perceptual importance. Second, the proportion of perceived coefficients of reference and distorted images was calculated according to the perception threshold, which was obtained from the subband coefficients of reference image. Finally, the objective image quality assessment was acquired by comparing the differences of the proportion of perceived coefficients between reference and distorted images. Tests were done on LIVE database and image sets of distortion at different levels to verify the rationality and validity of the proposed method. Experimental results illustrated that the proposed method had a good consistency with the subjective assessment of human beings, thus could be used to describe the visual perception of the image effectively.

Key words: image quality assessment, visual perception, multiscale geometric analysis, directional filter, Shearlet transformation, human visual system

CLC Number: 

  • TN911.73
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