[1] M.A. Turk and A.P. Pentaland, “Face recognition using eign faces,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 586-591, 1991.

[2] A. Ross and S. Prabhakar, “ Fingerprint matching using minutiae and texture features,” International Conference on Image Processing, pp.282-285, 2001.

[3] U.M. Chaskar, N.S. Shah and T. Jaison, “Iris Image quality assessment for biometric applications,”International Journal of Computer Science, vol.3, no.1.

[4] S.Bayram, I.Avcibas, B.Sankur and N.Menon, “Image manipulation detection,” J.Electron.Imag., vol.15,no.4,pp.041102-1-041102-17,2006.

[5] M.C. Stamn and K.J.R. Liu , “Forensic detection of image manipulation using statistical intrinsic fingerprints,” IEEE Trans.Inf. Forensics Security, vol.5, no.3, pp.492-496, Sep.2010.

[6] I.Avcibas, B.Sankur and N.Menon, “Steganalysis using image quality metrics,” IEEE Trans.Imag. Process., vol.12, no.2, pp.221-229, Feb.2003.

[7] S. Lyu and H. Farid, “Steganalysis using higherorder image statistics,” IEEE Trans.Inf. Forensic Security, vol.1, no.1, pp.111-119, Mar..2006.

[8] Z.Wang, A.C.Bovic, H.R.Sheikh and P.Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Trans.Image Process, vol.13, no.4, pp.600-612, Apr. 2004.

[9] H.R. Sheikh and A.C.Bovic, H, “Image information and visual quality,” IEEE Trans.Image Process, vol.15, no.2, pp.434-444, Feb. 2006.

[10] R.Soundararajan and A.C.Bovic, “RRED: indices: Reduced reference entropic differencing for image quality assessment,” IEEE Trans.Image Process, vol.21, no.2, pp.517-526, Feb. 2012

[11] Z.Wang, A.C.Bovic and H.R.Sheikh, “Noreference perceptual quality assessment of JPEG compressed images,” in proc. IEEE ICIP, pp.477- 480, Sep. 2002

[12] A.K.Moorthy and A.C.Bovic, “A two-step framework for constructing blind image quality indices,” IEEE Signal Process. Lett., vol.17, no.5, pp.513-516, May. 2010

[13] A.Mittal, R. Soundararajan and A.C.Bovic, “Making a completely blind image quality analyzer,” IEEE Signal Process Lett., vol.20, no.3, pp.209-212, Mar. 2013.

[14] Z.Wang and A.C.Bovic, “A Universl Image Quality Index,” IEEE Signal Process. Lett., vol.9, no.3, Mar. 2002.

[15] Z.Wang, A.C.Bovic and P.Simoncelli, “Multi structural similarity for image quality assessment,”.

[16] I.Avcibas, B.Sankur and K.Syood, “Statistcal evaluation of image quality measure,” J. Electron. Imag., vol.11,no.2,pp.206-223,2002.

[17] Q. Huynh-Thu and M. Ghanbari, “Scope of validity of PSNR in image/ video quality assessment,” Electron. Lett., vol.44, no.13, pp. 800-801 2008.

[18] S. Yao, W. Lin, E. Ong and Z. Lu, “Contrast signal to noise ratio for image quality assessment,” in proc. IEEE ICIP, pp.397-400, Sep. 2005.

[19] A.M. Eskicioglu and P.S. Fisher, “Image quality measures and their performance,” IEEE Trans. Commun. Vol.43,no.12, pp.2959-2965, Dec. 1995.

[20] M.G. Martini, C.T. Hewage and B. Villarini, “Image quality assessment based on edge preservation,” Signal Process., Image Commun., vol.27,no.8, pp.875-882, 2012.

[1] M.A. Turk and A.P. Pentaland, “Face recognition using eign faces,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 586-591, 1991.

[2] A. Ross and S. Prabhakar, “ Fingerprint matching using minutiae and texture features,” International Conference on Image Processing, pp.282-285, 2001.

[3] U.M. Chaskar, N.S. Shah and T. Jaison, “Iris Image quality assessment for biometric applications,”International Journal of Computer Science, vol.3, no.1.

[4] S.Bayram, I.Avcibas, B.Sankur and N.Menon, “Image manipulation detection,” J.Electron.Imag., vol.15,no.4,pp.041102-1-041102-17,2006.

[5] M.C. Stamn and K.J.R. Liu , “Forensic detection of image manipulation using statistical intrinsic fingerprints,” IEEE Trans.Inf. Forensics Security, vol.5, no.3, pp.492-496, Sep.2010.

[6] I.Avcibas, B.Sankur and N.Menon, “Steganalysis using image quality metrics,” IEEE Trans.Imag. Process., vol.12, no.2, pp.221-229, Feb.2003.

[7] S. Lyu and H. Farid, “Steganalysis using higherorder image statistics,” IEEE Trans.Inf. Forensic Security, vol.1, no.1, pp.111-119, Mar..2006.

[8] Z.Wang, A.C.Bovic, H.R.Sheikh and P.Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Trans.Image Process, vol.13, no.4, pp.600-612, Apr. 2004.

[9] H.R. Sheikh and A.C.Bovic, H, “Image information and visual quality,” IEEE Trans.Image Process, vol.15, no.2, pp.434-444, Feb. 2006.

[10] R.Soundararajan and A.C.Bovic, “RRED: indices: Reduced reference entropic differencing for image quality assessment,” IEEE Trans.Image Process, vol.21, no.2, pp.517-526, Feb. 2012

[11] Z.Wang, A.C.Bovic and H.R.Sheikh, “Noreference perceptual quality assessment of JPEG compressed images,” in proc. IEEE ICIP, pp.477- 480, Sep. 2002

[12] A.K.Moorthy and A.C.Bovic, “A two-step framework for constructing blind image quality indices,” IEEE Signal Process. Lett., vol.17, no.5, pp.513-516, May. 2010

[13] A.Mittal, R. Soundararajan and A.C.Bovic, “Making a completely blind image quality analyzer,” IEEE Signal Process Lett., vol.20, no.3, pp.209-212, Mar. 2013.

[14] Z.Wang and A.C.Bovic, “A Universl Image Quality Index,” IEEE Signal Process. Lett., vol.9, no.3, Mar. 2002.

[15] Z.Wang, A.C.Bovic and P.Simoncelli, “Multi structural similarity for image quality assessment,”.

[16] I.Avcibas, B.Sankur and K.Syood, “Statistcal evaluation of image quality measure,” J. Electron. Imag., vol.11,no.2,pp.206-223,2002.

[17] Q. Huynh-Thu and M. Ghanbari, “Scope of validity of PSNR in image/ video quality assessment,” Electron. Lett., vol.44, no.13, pp. 800-801 2008.

[18] S. Yao, W. Lin, E. Ong and Z. Lu, “Contrast signal to noise ratio for image quality assessment,” in proc. IEEE ICIP, pp.397-400, Sep. 2005.

[19] A.M. Eskicioglu and P.S. Fisher, “Image quality measures and their performance,” IEEE Trans. Commun. Vol.43,no.12, pp.2959-2965, Dec. 1995.

[20] M.G. Martini, C.T. Hewage and B. Villarini, “Image quality assessment based on edge preservation,” Signal Process., Image Commun., vol.27,no.8, pp.875-882, 2012.