فهرست و منابع پایان نامه رفع ماتی از تصاویر چهره به منظور استفاده در یک سیستم بازشناسی چهره
فهرست:
فصل اول: مقدمه. 1
1-1 مقدمه. 2
1- 2 بیان مساله. 3
1-3 ضرورت انجام تحقیق و هدف پایاننامه. 4
فصل دوم: مروری بر روشهای موجود. 7
2-1 مقدمه. 8
2-2 روشهای رفع ماتی از تصاویر عمومی.. 9
2-3 روشهای رفع ماتی از تصاویر چهره در کاربرد بازشناسی چهره 12
فصل سوم: روش پیشنهادی. 17
3-1 مقدمه. 18
3-2 اجزای روش پیشنهادی.. 18
3-2-1 ایجاد فضای ویژگی.. 21
3-2-2 مرحله شناسایی PSF مات کننده تصویر چهره 23
3-2-3 بهسازی تصویر چهره مات ورودی.. 24
3-3 نتیجهگیری.. 26
فصل چهارم: نتایج شبیهسازی. 27
4-1 مقدمه. 28
4-2 معرفی پایگاه داده 28
4-3 معرفی روشهای بازشناسی استفاده شده 29
4-3-1 روش بازشناسی چهره مبتنی بر تبدیل موجک و شبکه عصبی MLP. 29
4-3-2 روش بازشناسی چهره مبتنی بر میانگین بلوکی و شبکه عصبی MLP. 32
4-3-3 روش بازشناسی چهره مبتنی بر مقادیر ویژه حاصل از تصاویر چهره 33
4-4 معرفی روش رفع ماتی از تصاویر چهره FADEIN.. 34
4-5 نتایج شبیهسازی مربوط به عامل مات کننده خارج زوم بودن سوژه نسبت به دوربین.. 36
4-6 نتایج شبیهسازی مربوط به عامل مات کننده ماتی بر اثر حرکت دوربین.. 46
4-7 نتیجهگیری.. 54
فصل پنجم: نتیجهگیری و پیشنهاد راهکار آینده 55
5-1 نتیجهگیری.. 56
5-2 پیشنهاد راهکار آینده 57
مراجع 59
منبع:
1 مراجع
[1] T. Mita, T. Kaneko, B. Stenger, and O. Hori, “Discriminative Feature Co-Occurrence Selection for Object Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 7, pp. 1257-1269, July 2008.
[2] P. Campisi, K. Egiazarian, Blind Image Deconvolution: Theory and Applications, CRC Press, Boca Raton, FL, USA, 2007.
[3] P.C. Hansen, J.G. Nagy, D.P. O’Leary, Deblurring Images: Matrices, Spectra, and Filtering, SIAM Publisher, Philadelphia, PA, USA, 2006.
[4] T.F.Chan, J.Shen, Image Processing and Analysis Variational, PDE, Wavelet, and Stochastic Methods, SIAM Publisher,Philadelphia,PA,USA, 2005.
[5] W.H. Richardson, Bayesian-based iterative method of image restoration, Journal of the Optical Society of America, vol. 62, pp. 55–59, 1972.
[6] L. Lucy, An iterative technique for the rectification of observed distributions, The Astronomical Journal, vol. 79, pp. 745–754, 1974.
[7] N. Wiener. Extrapolation, Interpolation, and Smoothing of Stationary Time Series. The MIT Press, 1964.
[8] M.C. Cho, H.S. Don, Blur identification and image restoration using a multilayer neural network, IEEE International Joint Conference on Neural Networks, vol.3, pp. 2558–2563, 1991.
[9] Shiming Xiang, Gaofeng Meng, Ying Wang, Chunhong Pan, Changshui Zhang, Pattern Recognition: “Image deblurring with matrix regression and gradient evolution”, Sci Verse Science Direct, vol. 45, pp. 2164–2179, 2012.
[10] Slami Saadi, Abderrezak Guessoum, Maamar Bettayeb, Microprocessors and Microsystems: ABC optimized neural network model for image deblurring with its FPGA implementation, Sci Verse Science Direct, vol. 37, pp.6–52, 2013.
[11] Brian Heflin, Brian Parks, Walter Scheirer, Terrance Boult, “Single Image Deblurring for a Real-Time Face Recognition System”, University of Colorado at Colorado Springs Colorado in Proceedings of the IEEE Conference on Springs, 2010.
[12] M. Cannon, “Blind Deconvolution of spatially invariant image blurs with phase,” IEEE T. on Acoustics, Speech and Signal Processing, vol. 24,no. 1, pp. 58–63, 1976.
[13] T.F. Chan and C.-K. Wong, “Total Variation Blind Deconvolution,” IEEE Trans. Image Processing, vol. 7, no. 3, pp. 370-375, Mar. 1998.
[14] H. Hu and G. de Haan, “Low Cost Robust Blur Estimator,” Proc. IEEE Int’l Conf. Image Processing, pp. 617-620, 2006.
[15] J.H. Elder, “Local Scale Control for Edge Detection and Blur Estimation,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 7, pp. 699-716, July 1998.
[16] F. Rooms, A. Pizurica, and W. Philips, “Estimating Image Blur in the Wavelet Domain,” Proc. Fifth Asian Conf. Computer Vision, pp. 210-215, 2002.
[17] H. Tong, M. Li, H. Zhang, and C. Zhang, “Blur Detection for Digital Images Using Wavelet Transform,” Proc. IEEE Int’l Conf. Multimedia and Expo, vol. 1, pp. 17-20, 2004.
[18] Y. Yitzhaky and N.S. Kopeika, “Identification of Blur Parameters from Motion Blurred Images,” Graphical Models and Image Processing, vol. 59, no. 5, pp. 310-320, 1997.
[19] J. Jia, “Single Image Motion Deblurring Using Transparency,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1-8, 2007.
[20] Masashi Nishiyama, Abdenour Hadid, Hidenori Takeshima, Jamie Shotton, Tatsuo Kozakaya, and Osamu Yamaguchi, “Facial Deblur Inference Using Subspace Analysis For Recognition of Blurred Faces,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 33, no. 4, APRIL 2011.
[21] L. Yuan, J. Sun, L. Quan, and H.Y. Shum, “Image Deblurring with Blurred/ Noisy Image Pairs,” ACM Trans. Graphics, vol. 26, no. 3, pp. 1-10, 2007.
[22] R. Gopalan, S. Taheri, P. Turaga and R. Chellappa, “A Blur-robust Descriptor with Applications to Face Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, pp. 1220-1226, 2012.
[23] Guangling Sun, Xiaofei Zhou, “Robust Degraded Face Recognition based on Multi-scale Competition and Novel Face Representation,” International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 6, no. 5 pp. 205-216, 2013.
[24] Chi Ho Chan, Muhammad Atif Tahir, Josef Kittler, Matti Pietikainen,“ Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 5, may 2013.
[25] I. Stainvas and N. Intrator, “Blurred Face Recognition via a Hybrid Network Architecture,” Proc. Int’l Conf. Pattern Recognition, vol. 2, pp. 805808, 2000.
[26] C. Ancuti, C.O. Ancuti, and P. Bekaert, “Deblurring by Matching,” Computer Graphics Forum, vol. 28, no. 2 pp. 619-628, 2009.
[27] R.C. Gonzalez and R.E. Woods, Digital Image Processing. Prentice Hall, 2007.
[28] N. Wiener. Extrapolation, Interpolation, and Smoothing of Stationary Time Series. The MIT Press, 1964.
[29] http://www.uk.research.att.com/facedatabase.html.
[30] Masoud Mazloom, Shohreh Kasaei, “Face Recognition using Wavelet, PCA, and Neural Networks,” Proceeding of the First International Conference on Modeling, Simulation and Applied Optimization, Sharjah, U.A.E. February, 2005.
[31] M. Turk and A. Pentland, “Eigen faces for Recognition,” J. Cognitive Neuro sicence, vol. 3, no. 1, pp. 71-86, 1991