Abstract
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is used for face image coding and the coded images are protected with convolutional codes for transmission over Additive White Gaussian Noise (AWGN) channel. Binary Phase Shift Keying (BPSK) is used for the modulation of digital (binarized) coded images. Received binarized coded images are first decoded by the convolutional decoder using the Viterbi algorithm and then PCA decoded for recognition of the face. Unequal error protection (UEP) with two convolutional encoders with different rates is used to increase the overall performance of the system. The recognition rate of the transmitted coded face images without any protection is 35%, while equal protection with convolutional codes gives rates up to 85% accuracy. On the other hand, the proposed UEP scheme provides recognition rates up to 95% with reduced redundancy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3(1), 72–86 (1991)
Looney, C.G.: Pattern Recognition Using Neural Networks: Theory and Algorithms for engineers and Scientists, 1st edn. University Press, Oxford (1997)
Sheila, S.H.: Robust Image Communication over Wireless Channels. In: IEEE Communications Magazine (November 2001)
Desai, V., Classon, B., Blankenship, Y.W., Jhonson, J.: Unequal Error Protection Design Using Convolutional Codes. In: IEEE International Conference on Communications, vol. 2, pp. 836–840 (2002)
O.R.L. Face Database (2003), http://mambo.ucsc.edu/psl/olivetti.html (Retrieved May 12, 2003)
Lin, S., Costello, D.J.: Error Control Coding, 2nd edn. Pearson Prentice Hall, New Jersey (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hosic, S., Hocanin, A., Demirel, H. (2005). Unequal Error Protection Using Convolutional Codes for PCA-Coded Images. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_42
Download citation
DOI: https://doi.org/10.1007/11559573_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
Online ISBN: 978-3-540-31938-2
eBook Packages: Computer ScienceComputer Science (R0)