A Study on Novel Method of Facial Image Compression Using Master Code
DOI:
https://doi.org/10.51983/ajsat-2016.5.2.932Keywords:
Facial Image Compression, Master CodeAbstract
In this paper, face images are studied in the context of detection and recognition. In the literature, the problem of compressing human frontal facial images has been addressed. The images that are dealt are passport-type photos namely, full face, frontal view, plain background, no dark glasses, without hates and other non-standard clothing. Compression of Facial Images by using IDL is carried out in this paper. The facial images dealt with are passport-type photos-full face, frontal view. Three different photos of the same person are stored. A single code book is generated and compression is carried out. Appreciable PSNR values are obtained for different block sizes. This paper introduces a method to compress and decompress the facial image, so that it is visually appealing, at a quality sufficient to an un-mistakenly visually identify a given subject.
References
O. Bryt and M. Elad, "Compression of Facial Images using K-SVD Algorithm," Journal of Visual Communication and Image Representation, vol. 19, no. 4, pp. 270-283, 2008.
O. Bryt and M. Elad, "Improving the K-SVD Facial Image Compression Using a Linear Deblocking Method," [Online]. Available: http://www.cs.technion.ac.il/~elad/publications/conferences/2008/IEEE_08_Deblocking.pdf.
P. J. Burt and E. H. Adelson, "The Laplacian Pyramid as a Compact Image Code," IEEE Trans. Commun., vol. COM-31, no. 4, pp. 532-540, Apr. 1983.
P. Cosman, R. Gray, and M. Vetterli, "Vector Quantization of Images Sub Bands: A Survey," IEEE Trans. Image Process., vol. 5, no. 2, pp. 202-225, Feb. 1996.
K. Delac, S. Grgic, and M. Grgic, "Image Compression in Face Recognition: A Literature Survey," in Recent Advances in Face Recognition, K. Delac, Ed., Dec. 2006.
A. J. Ferreira and M. A. T. Figueiredo, "Image Compression Using Orthogonalized Independent Components Analysis," in Proc. Int. Conf. Images Processing, Barcelona, Spain, Sep. 2003, pp. 14-17.
A. J. Ferreira and M. A. T. Figueiredo, "Image Compression Using Orthogonalized Independent Components Bases," in Proc. IEEE XIII Workshop on Neural Networks for Signal Processing, Toulouse, France, Sep. 2003, pp. 17-19.
A. J. Ferreira and M. A. T. Figueiredo, "On the uses of Independent component analysis for images Compression," Signal Process: Image Commun., vol. 21, no. 5, pp. 378-389, 2006.
A. Gersho and R. M. Gray, "Vector Quantization and Signal Compression," Dordrecht, The Netherlands: Kluwer, 1992.
O. N. Gerek and H. C. Hatice, "Segmentation Based Coding of Human Face Images for Retrieval," Signal Process., vol. 84, no. 6, pp. 1041-1047, 2004.
T. Hazan, S. Polak, and A. Shashua, "Sparse Image Coding Using A 3D Non-Negative Tensor Factorization," in Proc. 10th IEEE Int. Conf. Computer Vision, Beijing, China, Oct. 2005, pp. 17-21.
J. H. Hu, R. S. Wang, and Y. Wang, "Compression of Personal Identification Pictures using Vector Quantization with Facial Feature Correction," Opt. Eng., vol. 35, no. 1, pp. 198-203, 1996.
J. Huang and Y. Wang, "Compression of Color Facial Images Using Feature Correction Two Stage Vector Quantization," IEEE Trans. Image Process., vol. 8, no. 1, pp. 102-109, Jan. 1999.
K. Inoue and K. Urahama, "DSVD: A Tensor-Based Image Compression and Recognition Method," in Proc. IEEE Int. Symp. Circuits and Systems, Kobe, Japan, May 2005, pp. 23-26.
A. Lanitis, C. J. Taylor, and T. F. Cootes, "Automatic Interpretation and Coding of Face Images using Flexible Models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 742-756, Jul. 1997.
Y. Linde, A. Buzo, and R. M. Gray, "An Algorithm for Vector Quantize Design," IEEE Trans. Commun., vol. COM-28, no. 1, pp. 84-5, Jan.1980.
B. Moghaddam and A. Pentland, "An Algorithm System for Model Based Coding of Faces," presented at the DCC Data Compression Conf., Snowbird, UT, Mar. 28-30, 1995.
P. Franti, "Lecture Notes on Image Compression," University of Joensuu, 2002.
Z. Qiuyu and W. Suczhong, "Color Personal ID Photo Compression Based on Object Segmentation," in Proc. Pacific Rim Conf. Communications, Computers and Signal Processing, Victoria, BC, Canada, Aug. 2005, pp. 24-26.
M. Sakalli, H. Yan, K. M. Lam, and T. Kondo, "Model-Based Multistage Compression of Human Face Images," in Proc. 14th Int. Conf. Pattern Recognition, Brisbane, Qld, Australia, Aug. 1998, pp. 16-20.
M. Sakalli and H. Yan, "Feature-Based Compression of Human Face Images," Opt. Eng., vol. 37, no. 5, pp. 1520-1529, 1998.
M. Sakalli, H. Yan, and A. Fu, "A Region-Based Scheme using Rklt and Predictive Classified Vector Quantization," Comput. Vis. Image Understand., vol. 75, no. 3, pp. 269-280, 1999.
A. Shashua and A. Levin, "Linear Image Coding for Regression and Classification using The Tensor-Rank Principle," in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, Kauai, HI, Dec. 2001, pp. 8-14.
D. S. Taubman and M. Merceiln, "Image Compression Fundamental, Standards and Practice," Norwell, MA: Kluwer, 2001.
J. E. Vila-Forcen, S. Voloshynovskiy, O. Koval, and T. Pun, "Facial Image Compression Based on Structured Codebooks in overcomplete Domain," EURASIP Journal on Applied Signal Processing, 2006, Article ID 69042, pp. 1-11.
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