Home > CSC-OpenAccess Library > Manuscript Information
EXPLORE PUBLICATIONS BY COUNTRIES |
 |
 |
EUROPE |
|
MIDDLE EAST |
|
ASIA |
|
AFRICA |
| ............................. | |
|
United States of America |
|
United Kingdom |
|
Canada |
|
Australia |
|
Italy |
|
France |
|
Brazil |
|
Germany |
|
Malaysia |
|
Turkey |
|
China |
|
Taiwan |
|
Japan |
|
Saudi Arabia |
|
Jordan |
|
Egypt |
|
United Arab Emirates |
|
India |
|
Nigeria |
Image Resolution Enhancement Using Undecimated Double Density Wavelet Transform
Varun P. Gopi, V. Suresh Babu, Dilna C.
Pages - 67 - 76 | Revised - 10-11-2014 | Published - 10-12-2014
Published in Signal Processing: An International Journal (SPIJ)
MORE INFORMATION
KEYWORDS
Undecimated Double Density Wavelet Transform, Image Resolution, Stationary Wavelet, Resolution Enhancement.
ABSTRACT
In this paper, an undecimated double density wavelet based image resolution enhancement technique is proposed. The critically sampled discrete wavelet transform (DWT) suffers from the drawbacks of being shift-variant and lacking the capacity to process directional information in images. The double density wavelet transform (DDWT) is an approximately shift-invariant transform capturing directional information. The undecimated double density wavelet transform (UDDWT) is an improvement of the DDWT, making it exactly shift-invariant. The method uses a forward and inverse UDDWT to construct a high resolution (HR) image from the given low resolution (LR) image. The results are compared with state-of-the-art resolution enhancement methods.
| 1 | Hamdi, N., & Auhmani, K. (2015). A new approach Based on Quantum Clustering and Wavelet Transform for breast cancer Classification: Comparative study. International Journal of Electrical and Computer Engineering, 5(5). |
| 1 | Google Scholar  |
| 2 | CiteSeerX |
| 3 | refSeek |
| 4 | Scribd |
| 5 | SlideShare |
| 6 | PdfSR |
| A K Moorthy and A C Bovik, “A two-step framework for constructing blind image quality indices”, IEEE Signal Process. Lett. vol. 17 no. 5, pp. 513–516, 2010. | |
| A. Temizel and T. Vlachos, “Wavelet domain image resolution enhancement using cycle- spinning”, Electron. Lett., vol. 41, no. 3, pp. 119-121, Feb. 2005. | |
| Daubechies I. “Ten lectures on wavelets”, Philadelphia: SIAM; 1992. | |
| Daubechies I. “The wavelet transform; time-frequency localization and signal analysis”, IEEE Trans Inform Theory 1990;36:961-1005. | |
| 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. | |
| H. Demirel and Gholamreza Anbarjafari, “Image Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition”, IEEE Trans. Image Procss., vol. 20, no. 5, 1458- 1460, May 2011. | |
| H. R. Sheikh and A. C. Bovik, “Image information and visual quality”, IEEE Trans. Image Process., vol. 15, no. 2, pp. 430–444, Feb. 2006. | |
| K. Kinebuchi, D. D. Muresan, and R. G. Baraniuk, “Wavelet based statistical signal processing using hidden Markov models”, in Proc. Int. Conf. Acoust., Speech, Signal Process., 2001, vol. 3, pp. 7–11. | |
| K. Kinebuchi, D. D. Muresan, and T. W. Parks, “Image interpolation using wavelet-based hidden Markov trees”, inProc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2001, pp. 1957-1960. | |
| L. Zhang and X. Wu, “An edge-guided image interpolation algorithm via directional filtering and data fusion”, IEEE Trans. Image Process., vol. 15, no. 8, pp. 2226-2238, Aug. 2006. | |
| Mayank Agrawal, Ratnakar Dash, “Image Resolution Enhancement using Lifting Wavelet and Stationary Wavelet Transform”, Int. Conf. on Electronic Sys. , Signal Process. and Comput. Tech., pp.322-325, Jan. 2014. | |
| Rao Raghuveer M, Bopardikar Ajit S, “Wavelet transforms: introduction to theory and applications”, Addison Wesley Longman Inc.; 1998. p. 151-66. | |
| S. Chang, Z. Cvetkovic, and M. Vetterli, “Locally adaptive wavelet-based image interpolation”, IEEE Trans. Image Process., vol. 15, no. 6, pp. 1471-1485, Jun. 2006. | |
| Selesnick IW, Sendur L, “Iterated over sampled filter banks and wavelet frames, In: Wavelet applications VII”, proceedings of SPIE; 2000. | |
| W. K. Carey, D. B. Chuang, and S. S. Hemami, “Regularity-preserving image interpolation”, IEEE Trans. Image Process., vol. 8, no. 9, pp. 1293-1297, Sep. 1999. | |
| X. Li and M. Orchard, “New edge-directed interpolation”, IEEE Trans. Image Process., vol. 10, no. 10, pp. 1521-1527, Oct. 2001. | |
Dr. Varun P. Gopi
GOVERNMENT ENGINEERING COLLEGE WAYANAD - India
vpgcet@gmail.com
Dr. V. Suresh Babu
CET - India
Dr. Dilna C.
Department of ECE Government Engineering College Wayanad Mananthavady, 670644, Kerala, India - India
|
|
|
|
| View all special issues >> | |
|
|
