Author : S Parvathy 1
Date of Publication :7th April 2016
Abstract: Image restoration refers to genre of techniques that aim to recover a high quality original image from degraded version of image which is given a specific model for degradation. The common forms of degradation that an image suffers are loss of sharpness and noise. The bilateral filter is a nonlinear filter that smoothens the noise while preserving the edge structure. This novel FPGA design architecture of bilateral filter is described in Register Transfer level (RTL). This feature of kernel based design is supported by input data into groups so that internal clock of the design is a multiple of pixel clock given by a target system.The bilateral filter is implemented by combining these features as highly parallelized pipeline structure. This method is non iterative and simple which combines both grey levels and colours based on their photometric similarity as well as geometric closeness and prefers near by values to distant values in both domain and range. The photometric component and the geometric component has been combined to form photo-geometric filter component which reduces the structural complexity while serving the process.This bilateral filtering operation is coded in VHDL and can be simulated using ModelSim and Matlab.
Reference :
-
[1] Hiroomi Hikawa, Member, IEEE, and Keishi Kaida, “ Novel FPGA implementation of Hand sign recognition system with SOM-Hebb classifier”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 1, Jan 2015.
[2] Xiaofei Zheng, Zhe Gao and Wei Luo, “Feature of statistical projection algorithm based image retrieval", AMIS Technology, vol. 7, no. 9, pp. 221229, Mar 2014.
[3] C. Li and W. Chen, “A novel FPGA-based hand gesture recognition system,Journal of Advanced Computer Science and Technology”, vol. 7, no. 9, pp. 221229,May 2012.
[4] K Manikantan, S Ramachandran, Science Publishing Corporation DFT domain Feature Extraction using Edgebased Scale Normalization for Enhanced Face Recognition.
[5] Sajilal Divakaran, “Spectral Analysis of Projection Histogram for Enhancing Close matching character Recognition”, in Malayalam International Journal of Computer Science Information Technology (IJCSIT) Vol 4, No 2, April 2012
[6] Mohammed Javed, P. Nagabhushan, B.B. Chaudhuri Extraction of Projection Profile, “Run-Histogram and Entropy Features Straight from RunLength” Compressed Text-Documents
[7] Y. Taki, H. Hikawa, S. Miyoshi, and Y. Maeda, “Hand sign recognition system based on hybrid network classifier”, in Proc. IEEE Int. Joint Conf. Neural Netw. (IJCNN), Jun. 2009, pp. 30743081.
[8] H. Hikawa, H. Fujimura, and D. Sato, “ Hand sign recognition algorithm for hardware implementation”, IEICE Trans. Inform. System, vol. J92-D, no. 3, pp. 405416, 2009.
[9] N. Gamage, K. Y. Chow, and R. Akmeliawati, “Static hand sign recognition using linear projection method”, in Proc. 4th Int. Conf. Auto. Robots Agents (ICARA), Feb. 2009, pp. 403407.
[10]Y. C. Ham and Y. Shi, “Developing a smart camera for gesture recognition in HCI applications”, in Proc. 13th IEEE Int. Symp. Consumer Electron. (ISCE), May 2009, pp. 994998.
[11]S. Oniga, A. Tisan, D. Mic, A. Buchman, and A. VidaRatiu, “Hand posture recognition system using artificial neural networks implemented in FPGA”, in Proc. 30th Int. Spring Seminar Electron. Technology, 2007, pp. 507512.
[12] Mark S. Nixon and Alberto S. Aguado, “Feature Extraction and Image Processing”, vol. 30, 3rd New York, NY, USA: Springer-Verlag, 2002.
[13]T. Kohonen, Self-Organizing Maps (Information Sciences), vol. 30,3rd ed. New York, NY, USA: Springer-Verlag, 2001.
[14]V. I. Pavlovic, R. Sharma, and T. S. Huang, “Visual interpretation of hand gestures for human-computer interaction”: A review,,IEEE Trans.Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 677695, Jul. 1997.
-
[1] Anna Gabiger-Rose, Student Member, IEEE, Matthias Kube, Robert Weigel, Fel-low, IEEE,and Richard Rose, Student Member, IEEE, An FPGA-Based Fully Synchronized Design of a Bilateral Filter for RealTime Image Denoising, IEEE trans-actions on industrial electronics, vol.61, no.8,August 2014.
[2] C. Tomasi and P. Manduchi, Bilateral filtering for gray and color images, in Proc. IEEE ICCV, pp. 839846.,1998.
[3] F. Durand and J. Dorsey ,Fast bilateral filtering for the display of highdynamic-range images,ACM Trans. Graph., vol. 21, no. 3, pp. 257266., Jul. 2002.
[4] Q. Yang, K.-H. Tan, and N. Ahuja, Real-time O(1) bilateral filtering, inProc. IEEE CVPR, pp. 557564 , 2009.
[5] B. Zhang and J. P. Allebach, Adaptive bilateral filter for sharpness enhancement and noise removal, IEEE Trans. Image Process., vol. 17,no. 5, pp. 664678., May 2008. [10] ,
[6] B. Yan and A.-D. Saleh,Structure enhancing bilateral filtering of images, in Proc. IEEE PCSPA, pp. 614617.,2010.
[7] M. de-Frutos-Lpez, H. Medina-Chanca, S. SanzRodrguez, C. PelezMoreno, and F. Daz-de-MarPerceptually-aware bilateral filter for quality improvement in low bit rate video coding,, in Proc. IEEE PCS,pp. 477480.,2012.
[8] J. Won Lee, R.-H. Park, and S. Chang, Noise reduction and adaptive contrast en-hancement for local tone mapping, IEEE Trans. Consum. Electron., vol. 58, no. 2, pp. 578586.,May 2012.
[9] J. Giraldo, Z. Kelm, L. Yu, J. Fletcher, B. Erickson, and C. McCollough,Com-parative study of two image space noise reduction methods for computed tomography: Bilateral filter and nonlocal means., in Proc. Conf. IEEE EMBS, pp. 35293532.,2009.
[10] A. Gabiger, M. Kube, and R. Weigel,A synchronous FPGA design of a bilateral filter for image processing, in Proc. IEEE IECON, pp. 19901995., 2009.