Computer Science ›› 2015, Vol. 42 ›› Issue (9): 282-284.doi: 10.11896/j.issn.1002-137X.2015.09.055

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No-reference Stereoscopic Image Quality Assessment Based on Wavelet Transform

XIONG Run-sheng, LI Chao-feng and ZHANG Wei   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Stereoscopic image quality assessment is an important field of image processing,and existing no-reference quality assessment method of 2D image cannot be well used in stereoscopic images.To evaluate the stereoscopic image quality,we presented a no-reference stereoscopic image quality assessment method based on wavelet transform.Firstly,the “Cyclopean” images are gained using Gabor and SSIM algorithm based on the left and right stereoscopic images.And then the sub-band energy of the left and right stereoscopic images and the “Cyclopean” image is calculated by wavelet decomposition.At last the relationship model between perceptual features of 3D image and subjective scores is built by support vector regression(SVR).Experimental results show that our method is better consistent with subjective assessment,and is more accord with human visual system.

Key words: No-reference stereoscopic image quality assessment,Wavelet transform,“Cyclopean” image,Support vector regression

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