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Face Hallucination using Eigen Transformation in Transform Domain
Abdu Rahiman V, Jiji Victor Charangatt
Pages - 265 - 282     |    Revised - 30-09-2009     |    Published - 20-02-2010
Volume - 3   Issue - 6    |    Publication Date - January 2010  Table of Contents
Face hallucination, Eigen transformation, Wavelets, Discrete cosine transform
Faces often appear very small in surveillance imagery because of the wide fields of view that are typically used and the relatively large distance between the cameras and the scene. In applications like face recognition, face detection etc. resolution enhancement techniques are therefore generally essential. Super resolution is the process of determining and adding missing high frequency information in the image to improve the resolution. It is highly useful in the areas of recognition, identification, compression, etc. Face hallucination is a subset of super resolution. This work is intended to enhance the visual quality and resolution of a facial image. It focuses on the eigen transform based face super resolution techniques in transform domain. Advantage of eigen transformation based technique is that, it does not require iterative optimization techniques and hence comparatively faster. Eigen transform is performed in wavelet transform and discrete cosine transform domains and the results are presented. The results establish the fact that the eigen transform is efficient in transform domain also and thus it can be directly applied with slight modifications on the compressed images.
CITED BY (5)  
1 George, J. P. (2012). development of efficient biometric recognition algorithms based on fingerprint and face (Doctoral dissertation, Christ University, Bangalore).
2 George, J., Tevaramani, S. S., & Raja, K. B. (2012). Performance comparison of face recognition using transform domain techniques. World of Computer Science and Information Technology Journal (WCSIT), 2(3), 82-89.
3 Kekre, H. B., Sarode, T. K., & Tirodkar, A. A. (2011). A Comprehensive Comparison of the Performance of Fractional Coefficients of Image Transforms for Palm Print Recognition. International Journal of Computer Science and Information Security, 9(10), 84.
4 M. K. Bhowmik, D. Bhattacharjee, M. Nasipuri, D. K. Basu, M. Kundu."Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition – A Comparative Study". International Journal of Image Processing (IJIP), 4(1):1-12
5 Bhowmik, M. K., Bhattacharjee, D., Nasipuri, M., Basu, D. K., & Kundu, M. (2010). Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition-A Comparative Study. arXiv preprint arXiv:1007.0626.
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Mr. Abdu Rahiman V
- India
Dr. Jiji Victor Charangatt
College of Engineering - India