Image Super Resolution Enhancement Based on Interpolation of Discrete and Stationary Wavelet Domain
DOI:
https://doi.org/10.51983/ajcst-2012.1.1.1668Keywords:
Discrete Wavelet Transform, Image super resolution, Stationary Wavelet TransformAbstract
In this paper, we propose an image super resolution enhancement technique based on interpolation of the high frequency sub band images obtained by discrete wavelet transform (DWT) using different types of wavelets such as Daubechies 1. Daubechies 2 .., Daubechies 9 haar, and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). We compare the results of different types of wavelets. DWT is applied in order to decompose an input image into different sub bands. Then the high frequency sub bands as well as the input image are interpolated. The estimated high frequency sub bands are being modified by using high frequency sub bands obtained through SWT then all these sub bands are combined to generate a new super-resolved image by using inverse DWT.
References
L. Yi-bo, X. Hong, and Z. Sen-yue, “The wrinkle generation method for facial reconstruction based on extraction of partition wrinkle line features and fractal interpolation,” in Proc. 4th Int. Conf. Image Graph., Aug. 22-24, 2007, pp. 933-937.
Y. Rener, J. Wei, and C. Ken, “Downsample-based multiple description coding and post-processing of decoding,” in Proc. 27th Chinese Control Conf., Jul. 16-18, 2008, pp. 253-256.
H. Demirel, G. Anbarjafari, and S. Izadpanahi, “Improved motionbased localized super resolution technique using discrete wavelet transform for low resolution video enhancement,” in Proc. 17th Eur. Signal Process. Conf., Glasgow, Scotland, Aug. 2009, pp. 1097-1101.
Y. Piao, I. Shin, and H. W. Park, “Image resolution enhancement using inter-subband correlation in wavelet domain,” in Proc. Int. Conf. Image Process., 2007, vol. 1, pp. I-445- 448.
H. Demirel and G. Anbarjafari, “Satellite image resolution enhancement using complex wavelet transform,” IEEE Geoscience and Remote Sensing Letter, vol. 7, no. 1, pp. 123- 126, Jan. 2010.
C. B. Atkins, C. A. Bouman, and J. P. Allebach, “Optimal image scaling using pixel classification,” in Proc. Int. Conf. Image Process., Oct. 7-10, 2001, vol. 3, pp. 864-867.
W. K. Carey, D. B. Chuang, and S. S. Hemami, “Regularity-preserving image interpolation,” IEEE Trans. Image Process., vol. 8, no. 9, pp. 1295-1297, Sep. 1999.
S. Mallat, A Wavelet Tour of Signal Processing, 2nd ed. New York: Academic, 1999.
J. E. Fowler, “The redundant discrete wavelet transform and additive noise, ”Mississippi State ERC, Mississippi State University, Tech. Rep. MSSU-COE- ERC-04-04, Mar. 2004.
X. Li and M. T. Orchard, “New edge- directed interpolation,” IEEE Trans. Image Process., vol. 10, no. 10, pp. 1521-1527, Oct. 2001.
K. Kinebuchi, D. D. Muresan, and R. G. Baraniuk, “Waveletbased statistical signal processing using hidden Markov models,” in Proc. Int. Conf. Acoust., Speech, Signal Process., 2001, vol.3, pp. 7-11.
S. Zhao, H. Han, and S. Peng, “Wavelet domain HMT-based image super resolution,” in Proc. IEEE Int. Conf. Image Process., Sep. 2003, vol. 2, pp. 933-936.
A. Temizel and T. Vlachos, “Wavelet domain image resolution enhancement using cycle-spinning,” Electron. Lett., vol. 41, no. 3, pp. 119-121, Feb. 3, 2005.
A. Temizel and T. Vlachos, “Image resolution upscaling in the wavelet domain using directional cycle spinning,” J. Electron. Imag., vol. 14,no. 4, 2005.
G. Anbarjafari and H. Demirel, “Image super resolution based on interpolation of wavelet domain high frequency subbands and the spatial domain input image,” ETRI J., vol. 32, no. 3, pp. 390-394, Jun. 2010.
A. Temizel, “Image resolution enhancement using wavelet domain hidden Markov tree and coefficient sign estimation,” in Proc. Int. Conf. Image Process., 2007, vol. 5, pp. V-381-384.
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