Design and implementation of a fuzzy area-based image-scaling technique

IEEE Transactions on Instrumentation and Measurement

Volumn 57, Issue 8, 2008, Pages 1504-1513

  Amanatiadis, Angelos ^a   Andreadis, Ioannis ^a   Konstantinidis, Konstantinos ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Digital image scaling; Fuzzy area based interpolation; Fuzzy zooming controller; Real time image scaling

Indexed keywords

DATA STORAGE EQUIPMENT; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FREQUENCY RESPONSE; FUZZY INFERENCE; FUZZY SETS; FUZZY SYSTEMS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; INTERPOLATION; LAWS AND LEGISLATION; MEMBERSHIP FUNCTIONS; PIPELINES; PIXELS; SECURITY OF DATA;

BIT RESOLUTION; COLOR IMAGING; COMPUTATION (CPU) TIMES; FUZZY ALGORITHMS; FUZZY IF THEN RULES; FUZZY INFERENCE SYSTEM (FIS); GAUSSIAN MEMBERSHIP FUNCTIONS; GRAY SCALING; GRAY-SCALE IMAGES; HARDWARE STRUCTURES; HARDWARE SYSTEMS; HIGH FREQUENCY PERFORMANCE; HIGH FREQUENCY RESPONSE; IMAGE INTERPOLATIONS; IMAGE SCALING; INPUT IMAGES; INTERPOLATION ERRORS; INTERPOLATION TECHNIQUES; MEMORY REQUIREMENTS; PARALLEL PROCESSING; PIPELINE STAGES; PROGRAMMABLE GATE ARRAY; REAL-TIME IMAGING; SCALING FACTORS; SCALING TECHNIQUES; SIMULATION RESULTS;

FUZZY LOGIC;

EID: 48749094112     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2008.925723     Document Type: Article

References (31)

1. A. Jain, Fundamentals of Digital Image Processing. Upper Saddle River, NJ: Prentice-Hall, 1989.
2. R. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-29, no. 6, pp. 1153-1160, Dec. 1981.
3. J. Hwang and H. Lee, "Adaptive image interpolation based on local gradient features," IEEE Signal Process. Lett., vol. 11, no. 3, pp. 359-362, Mar. 2004.
4. M. Unser, A. Aldroubi, and M. Eden, "Fast B-spline transforms for continuous image representation and interpolation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 3, pp. 277-285, Mar. 1991.
5. S. Battiato, G. Gallo, and F. Stanco, "A locally adaptive zooming algorithm for digital images," Image Vis. Comput., vol. 20, no. 11, pp. 805-812, Sep. 2002.
6. C. Chang, Y. Chou, Y. Yu, and K. Shih, "An image zooming technique based on vector quantization approximation," Image Vis. Comput., vol. 23, no. 13, pp. 1214-1225, Nov. 2005.
7. N. Plaziac, E. Syst, and N. Woodbury, "Image interpolation using neural networks," IEEE Trans. Image Process., vol. 8, no. 11, pp. 1647-1651, Nov. 1999.
8. J. Chen, J. Chang, and K. Shieh, "2-D discrete signal interpolation and its image resampling application using fuzzy rule-based inference," Fuzzy Sets Syst., vol. 114, no. 2, pp. 225-238, Sep. 2000.
9. H. Ting and H. Hang, "Edge preserving interpolation of digital images using fuzzy inference," J. Vis. Commun. Image Represent., vol. 8, no. 4, pp. 338-355, Dec. 1997.
10. I. Andreadis and A. Amanatiadis, "Digital image scaling," in Proc. IEEE Instrum. Meas. Technol. Conf., 2005, vol. 3, pp. 2028-2032.
11. D. Mitchell and A. Netravali, "Reconstruction filters in computer graphics," in Proc. 15th Annu. Conf. Comput. Graph. Interactive Tech., 1988, pp. 221-228.
12. G. Grevera and J. Udupa, "Shape-based interpolation of multidimensional grey-level images," IEEE Trans. Med. Imag., vol. 15, no. 6, pp. 881-892, Dec. 1996.
13. D. Giusto, M. Murroni, and G. Soro, "Slow motion replay of video sequences using fractal zooming," IEEE Trans. Consum. Electron., vol. 51, no. 1, pp. 103-111, Feb. 2005.
14. D. Monro and P. Wakefield, "Zooming with implicit fractals," in Proc. Int. Conf. Image Process., 1997, vol. 1, pp. 913-916.
15. F. Olarte, P. Ladino, and M. Melgarejo, "Hardware realization of fuzzy adaptive filters for non linear channel equalization," in Proc. IEEE Int. Symp. Circuits Syst., 2005, pp. 932-935.
16. K. Basterretxea, J. Tarela, and I. del Campo, "Digital Gaussian membership function circuit for neuro-fuzzy hardware," Electron. Lett., vol. 42, no. 1, pp. 58-59, Jan. 2006.
17. F. Tao, X. Wen-Lu, and Y. Lian-Xing, "An architecture and implementation of image scaling conversion," in Proc. 4th Int. Conf. ASIC, 2001, pp. 409-410.
18. M. Nuno-Maganda and M. Arias-Estrada, "Real-time FPGA-based architecture for bicubic interpolation: An application for digital image scaling," in Proc. Int. Conf. Reconfigurable Comput. FPGAs, 2005, p. 8.
19. C. Kim, S. Seong, J. Lee, and L. Kim, "Winscale: An image-scaling algorithm using an area pixel model," IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 6, pp. 549-553, Jun. 2003.
20. E. Aho, J. Vanne, T. Hamalainen, and K. Kuusilinna, "Block-level parallel processing for scaling evenly divisible images," IEEE Trans. Circuits Syst., vol. 52, no. 12, pp. 2717-2725, Dec. 2005.
21. A. Amanatiadis, I. Andreadis, and K. Konstantinidis, "Fuzzy area-based image scaling," in Proc. IEEE Instrum. Meas. Technol. Conf., 2007, pp. 1-6.
22. G. Ascia, V. Catania, and M. Russo, "VLSI hardware architecture for complex fuzzy systems," IEEE Trans. Fuzzy Syst., vol. 7, no. 5, pp. 553-570, Oct. 1999.
23. A. Gabrielli and E. Gandolfi, "A fast digital fuzzy processor," IEEE Micro, vol. 19, no. 1, pp. 68-79, Jan. 1999.
24. D. Kim, "An implementation of fuzzy logic controller on the reconfigurable FPGA system," IEEE Trans. Ind. Electron., vol. 47, no. 3, pp. 703-715, Jun. 2000.
25. J. Tarela, K. Basterretxea, I. del Campo, M. Martinez, and E. Alonso, "Optimised PWL recursive approximation and its application to neuro-fuzzy systems," Math. Comput. Model., vol. 35, no. 7, pp. 867-883, 2002.
26. M. Schulte, J. Omar, and E. Swartzlander, "Optimal initial approximations for the Newton-Raphson division algorithm," Computing vol. 53, no. 3, pp. 233-242, Sep. 1994.
27. D.Wong and M. Flynn, "Fast division using accurate quotient approximations to reduce the number of iterations," IEEE Trans. Comput., vol. 41, no. 8, pp. 981-995, Aug. 1992.
28. M. Manzoul and D. Jayabharathi, "FPGA for fuzzy controllers," IEEE Trans. Syst., Man, Cybern., vol. 25, no. 1, pp. 213-216, Jan. 1995.
29. J. Hennessy and D. Patterson, Computer Architecture: A Quantitative Approach. San Mateo, CA: Morgan Kaufmann, 2006.
30. T. Lehmann, C. Gonner, and K. Spitzer, "Survey: Interpolation methods in medical image processing," IEEE Trans. Med. Imag., vol. 18, no. 11, pp. 1049-1075, Nov. 1999.
31. E. Maeland, "On the comparison of interpolation methods," IEEE Trans. Med. Imag., vol. 7, no. 3, pp. 213-217, Sep. 1988.