Brief Introduction on 2D Image Quality Assessment

[1]  Alan C. Bovik,et al.  A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms , 2006, IEEE Transactions on Image Processing.

[2]  Zhou Wang,et al.  Blind measurement of blocking artifacts in images , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[3]  Christophe Charrier,et al.  Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain , 2012, IEEE Transactions on Image Processing.

[4]  Eero P. Simoncelli,et al.  Natural image statistics and neural representation. , 2001, Annual review of neuroscience.

[5]  Stefan Winkler,et al.  Perceptual blur and ringing metrics: application to JPEG2000 , 2004, Signal Process. Image Commun..

[6]  Martin J. Wainwright,et al.  Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..

[7]  D. Bonett,et al.  Sample size requirements for estimating pearson, kendall and spearman correlations , 2000 .

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

[9]  Alan C. Bovik,et al.  No-reference quality assessment using natural scene statistics: JPEG2000 , 2005, IEEE Transactions on Image Processing.

[10]  Zhou Wang,et al.  Embedded foveation image coding , 2001, IEEE Trans. Image Process..

[11]  Patrick Le Callet,et al.  Pseudo no reference image quality metric using perceptual data hiding , 2006, Electronic Imaging.

[12]  Rob J Hyndman,et al.  Another look at measures of forecast accuracy , 2006 .

[13]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[14]  Zhou Wang,et al.  Reduced-Reference Image Quality Assessment Using Divisive Normalization-Based Image Representation , 2009, IEEE Journal of Selected Topics in Signal Processing.

[15]  Alan C. Bovik,et al.  Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality , 2011, IEEE Transactions on Image Processing.

[16]  Pierre Moulin,et al.  Analysis of Multiresolution Image Denoising Schemes Using Generalized Gaussian and Complexity Priors , 1999, IEEE Trans. Inf. Theory.

[17]  Wijnand A. IJsselsteijn,et al.  Evaluation of Stereoscopic Images: Beyond 2D Quality , 2011, IEEE Transactions on Broadcasting.

[18]  Alan C. Bovik,et al.  A Two-Step Framework for Constructing Blind Image Quality Indices , 2010, IEEE Signal Processing Letters.

[19]  Wijnand A. IJsselsteijn,et al.  Perceived quality of compressed stereoscopic images: Effects of symmetric and asymmetric JPEG coding and camera separation , 2006, TAP.

[20]  Hans-Jurgen Zepernick,et al.  Subjective Quality Assessment for Wireless Image Communication : The Wireless Imaging Quality Database , 2010 .

[21]  Stéphane Mallat,et al.  Multifrequency channel decompositions of images and wavelet models , 1989, IEEE Trans. Acoust. Speech Signal Process..

[22]  Zhou Wang,et al.  Modern Image Quality Assessment , 2006, Modern Image Quality Assessment.

[23]  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.

[24]  H.R. Sheikh,et al.  Blind quality assessment for JPEG2000 compressed images , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[25]  H.R. Wu,et al.  A generalized block-edge impairment metric for video coding , 1997, IEEE Signal Processing Letters.

[26]  Zhenghua Yu,et al.  Vision-model-based impairment metric to evaluate blocking artifacts in digital video , 2002, Proc. IEEE.

[27]  Nikolay N. Ponomarenko,et al.  Color image database TID2013: Peculiarities and preliminary results , 2013, European Workshop on Visual Information Processing (EUVIP).

[28]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[29]  Eric C. Larson,et al.  Most apparent distortion: full-reference image quality assessment and the role of strategy , 2010, J. Electronic Imaging.

[30]  Bernhard Schölkopf,et al.  New Support Vector Algorithms , 2000, Neural Computation.

[31]  Claudio M. Privitera,et al.  Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[32]  Alan C. Bovik,et al.  Image features that draw fixations , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).