[1] Supriyanto E, Lau E X, Seow S C. Automatic image quality monitoring system for low cost ultrasound machine. In: Proceedings of the International Conference on Information Technology and Applications in Biomedicine (ITAB 2008), 2008, 183-186

[2] Nezhadarya E, Wang Z J, Ward R K. Image quality monitoring using spread spectrum watermarking. In: Proceedings of 16th IEEE International Conference on Image Processing (ICIP 2009), 2009, 2233-2236

[3] Wang Z. Applications of objective image quality assessment methods. IEEE Signal Processing Magazine, 2011, 28(6): 137-142

[4] Gupta P, Srivastava P, Bhardwaj S, Bhateja V. A modified PSNR metric based on HVS for quality assessment of color images. In: Proceedings of the International Conference on Communication and Industrial Application (ICCIA), 2011, 1-4

[5] Wang Z, Bovik A C. A universal image quality index. IEEE Signal Processing Letters, 2002, 9(3): 81-84

[6] Wang Z, Bovik A C, Sheikh H R, Simoncelli E P. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, 2004, 13(4): 600-612

[7] Xie R S, Zhou M, Huang C L, Li Y M. Anti-geometrical attacks image watermarking scheme based on template watermark. In: Proceedings of International Symposium on Computer Network and Multimedia Technology (CNMT 2009), 2009, 1-4

[8] Kim H S, Lee H K. Invariant image watermark using zernike moments. IEEE Transactions on Circuits and Systems for Video Technology, 2003, 13(8): 766-775

[9] Mishra A, Jain A, Narwaria M, Agarwal C. An experimental study into objective quality assessment of watermarked images. International Journal of Image Processing, 2011, 5(2): 199-219

[10] Wang Z, Simoncelli E P. Translation insensitive image similarity in complex wavelet domain. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’05), 2005, 573-576

[11] Sampat M P, Wang Z, Gupta S, Bovik A C, Markey M K. Complex wavelet structural similarity: a new image similarity index. IEEE Transactions on Image Processing, 2009, 18(11): 2385-2401

[12] Setyawan I, Delannay D, Macq B M M, Lagendijk R L. Perceptual quality evaluation of geometrically distorted images using relevant geometric transformation modeling. In: Proceedings of SPIE Security and Watermarking of Multimedia Contents, 2003, 5020: 85-94

[13] D’Angelo A, Zhaoping L, Barni M. A full-reference quality metric for geometrically distorted images. IEEE Transactions on Image Processing, 2010, 19(4): 867-881

[14] D’Angelo A, Menegaz G, Barni M. Perceptual quality evaluation of geometric distortions in images. In: Proceedings of SPIE Human Vision and Electronic Imaging, 2007, 6492: 64920J-12

[15] Periaswamy S, Farid H. Medical image registration with partial data. Medical Image Analysis, 2006, 10(3): 452-464

[16] Ebling J, Scheuermann G. Clifford Fourier transform on vector fields. IEEE Transactions on Visualization and Computer Graphics, 2005, 11(4): 469-479

[17] Ji J, Chen G, Sun L. A novel Hough transform method for line detection by enhancing accumulator array. Pattern Recognition Letters, 2011, 32(11): 1503-1510

[18] Terrades O R, Valveny E. A new use of the Ridgelets transform for describing linear singularities in images. Pattern Recognition Letters, 2006, 27(6): 587-596

[19] Sheikh H R, Wang Z, Cormackl L, Bovik A C. Live image quality assessment databases release 2. http://live.ece.utexas.edu/research/quality/

[20] International Telecommunication Union. Subjective Video Quality Assesment Methods for Multimedia Applications. Recommendation P.910. Geneva, Switzerland, 1996