Disparity weighting applied to full-reference and no reference stereoscopic image quality assessment

This paper presents an evaluation of performance of the disparity weighting technique when it is applied to stereoscopic image quality assessment in full reference and no-reference scenarios. The correlation coefficients between the subjective scores in the LIVE 3D Database and the predicted scores indicate a significant increase in the performance.

[1]  Siwei Ma,et al.  Stereoscopic video quality assessment model based on spatial-temporal structural information , 2012, 2012 Visual Communications and Image Processing.

[2]  Zhou Wang,et al.  No-reference perceptual quality assessment of JPEG compressed images , 2002, Proceedings. International Conference on Image Processing.

[3]  José Vinícius de Miranda Cardoso,et al.  Objective estimation of 3D video quality: A disparity-based weighting strategy , 2013, 2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB).

[4]  Karen O. Egiazarian,et al.  3D-DCT based perceptual quality assessment of stereo video , 2011, 2011 18th IEEE International Conference on Image Processing.

[5]  P. Le Callet,et al.  Stereoscopic 3D video coding quality evaluation with 2D objective metrics , 2013, Electronic Imaging.

[6]  Alan C. Bovik,et al.  Subjective evaluation of stereoscopic image quality , 2013, Signal Process. Image Commun..

[7]  Patrick Le Callet,et al.  Quality Assessment of Stereoscopic Images , 2008, EURASIP J. Image Video Process..

[8]  Alan C. Bovik,et al.  Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures , 2009, IEEE Signal Processing Magazine.

[9]  Junyong You,et al.  PERCEPTUAL QUALITY ASSESSMENT FOR STEREOSCOPIC IMAGES BASED ON 2 D IMAGE QUALITY METRICS AND DISPARITY ANALYSIS , 2010 .

[10]  Kwanghoon Sohn,et al.  Depth map quality metric for three-dimensional video , 2009, Electronic Imaging.

[11]  Alan C. Bovik,et al.  A subjective study to evaluate video quality assessment algorithms , 2010, Electronic Imaging.

[12]  Rajiv Soundararajan,et al.  Study of Subjective and Objective Quality Assessment of Video , 2010, IEEE Transactions on Image Processing.