Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware

Signal Processing

Volumn 90, Issue 8, 2010, Pages 2396-2411

  Su, Yang ^a,b   Xu, Zhijie ^a  

^a UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

^b XI'AN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Discrete wavelet transform; General purpose computing on graphics processing unit; Graphics accelerator; Image denoising

Indexed keywords

GENERAL-PURPOSE COMPUTING; GRAPHICS ACCELERATORS; GRAPHICS PROCESSING UNIT; IMAGE DE-NOISING;

COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; COMPUTER HARDWARE; COMPUTER VISION; DISCRETE WAVELET TRANSFORMS; IMAGE CODING; IMAGE COMPRESSION; PARALLEL ARCHITECTURES; PERSONAL COMPUTERS; PROGRAM PROCESSORS;

DATA PROCESSING;

EID: 77951208552     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.06.019     Document Type: Article

References (27)

1. Bovik A. Handbook of Image and Video Processing. second ed. (2005), Elsevier, Academic Press, London
2. Amolins K., Zhang Y., and Dare P. Wavelet based image fusion techniques-an introduction, review and comparison. Journal of Photogrammetry and Remote Sensing 62 4 (2007) 249-263
3. L. Birgé, P. Massart, From model selection to adaptive estimation, Festschrift for Lucien Le Cam, Research Papers in Probability and Statistics, Springer, Berlin, 1997, pp. 55-88.
4. Barron A., Birgé L., and Massart P. Risk bounds for model selection via penalization. Probability Theory and Related Fields 113 3 (1999) 301-413
5. Donoho D.L., and Johnstone I.M. Adapting to unknown smoothness via wavelet shrinkage. Journal of the American Statistical Association 90 (1995) 1200-1224
6. Donoho D.L., and Johnstone I.M. Minimax estimation via wavelet shrinkage. Journal of Applied Probability 26 3 (1998) 879-921
7. Donoho D.L., Johnstone I.M., Kerkyacharian G., and Picard D. Wavelet shrinkage: asymptopia. Journal of the Royal Statistical Society, Series B (Methodological) 57 2 (1995) 301-369
8. Chicken E., and Cai T.T. Block thresholding for density estimation: local and global adaptivity. Journal of Multivariate Analysis 95 1 (2005) 76-106
9. Azzalini A., Farge M., and Schneider K. Nonlinear wavelet thresholding: a recursive method to determine the optimal denoising threshold. Applied and Computational Harmonic Analysis 18 2 (2005) 177-185
10. Sweldens W. The lifting scheme: a construction of second generation wavelets. SIAM Journal on Mathematical Analysis 29 2 (1998) 511-546
11. Kuzume K., Niijima K., and Takano S. FPGA-based lifting wavelet processor for real-time signal detection. Signal Processing 84 10 (2004) 1931-1940
12. Vishwanath M., and Owens R.M. VLSI architecture for the discrete wavelet transform. IEEE Transactions on Circuit & System 42 5 (1995) 305-316
13. W.R. Mark, R.S. Glanville, K. Akeley, M.J. Kilgard, Cg: a system for programming graphics hardware in a C-like language, in: ACM Transactions on Graphics, 2003.
14. J. Bolz, I. Farmer, E. Grinspun, P. Schreoder, Sparse matrix solvers on the GPU: conjugate gradients and multigrid, in: ACM Transactions on Graphics, 2003.
15. J. Krüger, R. Westermann, Linear algebra operators for GPU implementation of numerical algorithms, in: ACM Transactions on Graphics, 2003.
16. K. Moreland, E. Angel, The FFT on a GPU, in: Proceeding of the ACM SIGGRAPH/EUROGRAPHICS Conference on Graphics Hardware (HWWS'03), 2003, pp. 112-119.
17. M. Hopf, T. Ertl, Hardware-accelerated wavelet transformations, in: Proceedings of the EG/IEEE TVCG Symposium on Visualization (SisSym'00), May 2000, pp. 93-103.
18. Wong T.T., Leung C.S., Heng P.A., and Wang J.Q. Discrete wavelet transform on consumer-level graphics hardware. IEEE Transaction on Multimedia 9 3 (2007) 668-673
19. Tenllado C., Setoain J., Prieto M., Pinuel L., and Tirado F. Parallel implementation of the 2D discrete wavelet transform on graphics processing units: filter bank versus lifting. IEEE Transactions on Parallel and Distributed Systems 19 3 (2008) 299-310
20. K. Engel, M. Hadwiger, J.M. Kniss, A.E. Lefohn, et al., Real-time volume graphics, in: Course Notes 28 in SIGGRAPH2004, 2004, pp. 13-18.
21. Owens J.D., Luebke D., Govindaraju N., Harris M., et al. A survey of general-purpose computation on graphics hardware. Computer Graphics Forum 26 1 (2007) 80-113
22. Strzodka R., Doggett M., and Kolb A. Scientific computation for simulation on programmable graphics Hardware. Simulation Modelling Practice and Theory 13 8 (2005) 667-681
23. C. Oat, Rendering to an off-screen buffer with WGL_ARB_pbuffer, Technology Paper of ATI Inc., pp. 1-13, Available on: 〈http://ati.amd.com/developer/ATIpbuffer.pdf〉.
24. E. Persson. Framebuffer objects, Technology Paper of ATI Inc., pp. 1-12, Available on: 〈http://ati.amd.com/developer/SDK/AMD_SDK_Samples_May2007/Documentations/FramebufferObjects.pdf〉.
25. Pharr M., and Fernando R. GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation (2005), Addison-Wesley Press, London
26. Strang G., and Nguyen T. Wavelets and Filter Banks (1996), Wellesley-Cambridge, Cambridge, MA
27. GPUSort: a high performance GPU sorting library, Available on: 〈http://gamma.cs.unc.edu/GPUSORT/〉.