A Real-Time Wavelet-Domain Video Denoising Implementation in FPGA
EURASIP Journal on Embedded Systems volume 2006, Article number: 016035 (2006)
The use of field-programmable gate arrays (FPGAs) for digital signal processing (DSP) has increased with the introduction of dedicated multipliers, which allow the implementation of complex algorithms. This architecture is especially effective for data-intensive applications with extremes in data throughput. Recent studies prove that the FPGAs offer better solutions for real-time multiresolution video processing than any available processor, DSP or general-purpose. FPGA design of critically sampled discrete wavelet transforms has been thoroughly studied in literature over recent years. Much less research was done towards FPGA design of overcomplete wavelet transforms and advanced wavelet-domain video processing algorithms. This paper describes the parallel implementation of an advanced wavelet-domain noise filtering algorithm, which uses a nondecimated wavelet transform and spatially adaptive Bayesian wavelet shrinkage. The implemented arithmetic is decentralized and distributed over two FPGAs. The standard composite television video stream is digitalized and used as a source for real-time video sequences. The results demonstrate the effectiveness of the developed scheme for real-time video processing.
Cocchia F, Carrato S, Ramponi G: Design and real-time implementation of a 3-D rational filter for edge preserving smoothing. IEEE Transactions on Consumer Electronics 1997,43(4):1291-1300. 10.1109/30.642398
Arce G: Multistage order statistic filters for image sequence processing. IEEE Transactions on Signal Processing 1991,39(5):1146-1163. 10.1109/78.80969
Zlokolica V, Philips W: Motion and detail adaptive denoising of video. Image Processing: Algorithms and Systems III, January 2004, San Jose, Calif, USA, Proceedings of SPIE 5298: 403-412.
Hong L, Brzakovic D: Bayesian restoration of image sequences using 3-D Markov random fields. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '89), May 1989, Glasgow, UK 3: 1413-1416.
Brailean J, Katsaggelos A: Simultaneous recursive displacement estimation and restoration of noisy-blurred image sequences. IEEE Transactions on Image Processing 1995,4(9):1236-1251. 10.1109/83.413168
van Roosmalen P, Westen S, Lagendijk R, Biemond J: Noise reduction for image sequences using an oriented pyramid thresholding technique. IEEE International Conference on Image Processing, September 1996, Lausanne, Switzerland 1: 375-378.
Selesnick I, Li K: Video denoising using 2D and 3D dual-tree complex wavelet transforms. Wavelets: Applications in Signal and Image Processing X, August 2003, San Diego, Calif, USA, Proceedings of SPIE 5207: 607-618.
Rusanovskyy D, Egiazarian K: Video denoising algorithm in sliding 3d dct domain. In Proceedings of the 7th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS '05), September 2005, Antwerp, Belgium, Lecture Notes on Computer Science Edited by: Blanc-Talon J, Philips W, Popescu D, Scheunders P. 3708: 618-625.
Pižurica A, Zlokolica V, Philips W: Noise reduction in video sequences using wavelet-domain and temporal filtering. Wavelet Applications in Industrial Processing, October 2003, Providence, RI, USA , Proceedings of SPIE 5266: 48-59.
Zlokolica V, Pižurica A, Philips W: Video denoising using multiple class averaging with multiresolution. The International Workshop on Very Low Bitrate Video Coding (VLBV '03), September 2003, Madrid, Spain 172-179.
Draper BA, Beveridge JR, Bohm APW, Ross C, Chawathe M: Accelerated image processing on FPGAs. IEEE Transactions on Image Processing 2003,12(12):1543-1551. 10.1109/TIP.2003.819226
Al-Haj AM: Fast discrete wavelet transformation using FPGAs and distributed arithmetic. International Journal of Applied Science and Engineering 2003,1(2):160-171.
Goslin G: A guide to using field programmable gate arrays (FPGAs) for application-specific digital signal processing performance. XILINX Inc., 1995
Dick C: Implementing area optimized narrow-band FIR filters using Xilinx FPGAs. Configurable Computing: Technology and Applications, November 1998, Boston, Mass, USA, Proceedings of SPIE 3526: 227-238.
Turney RD, Dick C, Reza A: Multirate filters and wavelets: from theory to implementation. XILINX Inc
Ritter J, Molitor P: A pipelined architecture for partitioned DWT based lossy image compression using FPGA's. ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA '01), February 2001, Monterey, Calif, USA 201-206.
Nibouche M, Bouridane A, Murtagh F, Nibouche O: FPGA-Based Discrete Wavelet Transforms System. School of Computer Science, The Queen's University of Belfast, Belfast, UK; 2001.
Trenas MA, Lopez J, Zapata EL: FPGA implementation of wavelet packet transform with reconfigurable tree structure. Proceedings of the 26th Euromicro Conference (EUROMICRO '00), September 2000, Maastricht, The Netherlands 1244-1251.
Wiatr K, Russek P: Embedded zero wavelet coefficient coding method for FPGA implementation of video codec in real-time systems. The International Conference on Information Technology: Coding and Computing (ITCC '00), March 2000, Las Vegas, Nev, USA 146-151.
Mathen SG: Wavelet transform based adaptive image compression on FPGA, M.S. thesis. University of Kansas, Manhattan, Kan, USA; 2000.
Ballagh JB: An FPGA-based run-time reconfigurable 2-D discrete wavelet transform core, M.S. thesis. Virginia Polytechnic Institute, Blacksburg, Va, USA; 2001.
Nachtergaele L, Vanhoof B, Peón M, Lafruit G, Bormans J, Bolsens I: Implementation of a scalable MPEG-4 wavelet-based visual texture compression system. Proceedings of the 36th Design Automation Conference (DAC '99), June 1999, New Orleans, La, USA 333-336.
Calderbank AR, Daubechies I, Sweldens W, Yeo B-L: Wavelet transforms that map integers to integers. Applied and Computational Harmonic Analysis 1998,5(3):332-369. 10.1006/acha.1997.0238
Sweldens W: Lifting scheme: a new philosophy in biorthogonal wavelet constructions. Wavelet Applications in Signal and Image Processing III, July 1995, San Diego, Calif, USA, Proceedings of SPIE 2569: 68-79.
Sweldens W: Wavelets and the lifting scheme: a 5 minute tour. Zeitschrift für Angewandte Mathematik und Mechanik 1996,76(2):41-44.
Dillen G, Georis B, Legat J-D, Cantineau O: Combined line-based architecture for the5–3and9–7wavelet transform of JPEG2000. IEEE Transaction on Circuits and Systems for Video Technology 2003,13(9):944-950. 10.1109/TCSVT.2003.816518
Wu B-F, Hu Y-Q: An efficient VLSI implementation of the discrete wavelet transform using embedded instruction codes for symmetric filters. IEEE Transactions on Circuits and Systems for Video Technology 2003,13(9):936-943. 10.1109/TCSVT.2003.816509
Katona M, Pižurica A, Zlokolica V, Teslić N, Philips W: Real-time wavelet domain video denoising implemented in FPGA. Wavelet Applications in Industrial Processing II, October 2004, Philadelphia, Pa, USA, Proceedings of SPIE 5607: 63-70.
Katona M, Pižurica A, Teslić N, Kovacevic V, Philips W: FPGA design and implementation of a wavelet-domain video denoising system. In Proceedings of the 7th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS '05), September 2005, Antwerp, Belgium, Lecture Notes on Computer Science Edited by: Blanc-Talon J, Popescu D, Philips W, Scheunders P. 3708: 650-657.
Mallat S, Zhong S: Characterization of signals from multiscale edges. IEEE Transactions on Pattern Analysis and Machine Intelligence 1992,14(7):710-732. 10.1109/34.142909
SystemC Version 2.0 Users Guide SystemC Inc., 2002, http://www.systemc.org
Katona M, Teslić N, Kovacevic V, Temerinac M: Test environment for bluetooth baseband inegrated circuit development. In Proceedings of the 5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS '01), Septmeber 2001, Nis, Yoguslavia Edited by: Milovanovic BD. 2: 405-408.
Katona M, Teslić N, Krajacevic Z: FPGA design with SystemC. In The 10th International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES '03), June 2003, Lodz, Poland Edited by: Napieralski A. 1: 220-223.
Daubechies I: Ten Lectures on Wavelets. SIAM, Philadelphia, Pa, USA; 1992.
Virtex II Platform FPGA: Complete Data Sheet, XILINX Inc., 2004, http://www.xilinx.com
Pižurica A, Philips W: Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising. IEEE Transactions on Image Processing 2006,15(3):654-665.
Donoho DL, Johnstone IM: Adapting to unknown smoothness via wavelet shrinkage. Journal of the American Statistical Association 1995,90(432):1200-1224. 10.2307/2291512
Zlokolica V, Pižurica A, Philips W: Noise estimation for video processing based on spatial-temporal gradient histograms. to appear in IEEE Signal Processing Letters
VPC 3205C Video Processor Family, ITT Semiconductors: ITT Intermetall, 1997, http://www.micronas.com
CHIPit Gold Edition Handbook, ProDesign Electronic & CAD Layout, 2003, http://www.prodesigncad.de
DDPB 3310B Display and Deflection Processor, Micronas Intermetal, 1998, http://www.micronas.com
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Katona, M., Pižurica, A., Teslić, N. et al. A Real-Time Wavelet-Domain Video Denoising Implementation in FPGA. J Embedded Systems 2006, 016035 (2006). https://doi.org/10.1155/ES/2006/16035