Design of a Fast JND Algorithm Based on Discrete Wavelet Transform and its VLSI Implementation

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The computation of JND is very complex, which makes it difficult to embed it into integrated circuits. To solve this problem, Haar-DWT based JND model is exploited and its corresponding pipeline architecture is developed in this paper. To evaluate its performance, the architecture is modeled with hardware description language, and implemented by SMIC 0.18um technology. The area of JND core is 42052 gates, which is significantly smaller than the full band JND based architecture. From the experiment results, the system goes on well at 161 MHz and achieves 78% time saving compared with the full band JND based architecture.

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1538-1541

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] I. Cox and M. L. Miller, A review of watermarking and the importance of perceptual modeling, Proc. Electronic Imaging, (1997).

Google Scholar

[2] I.J. Cox, Joe Kilian, F. Thomson, Secure SpreadSpectrum Watermarking for Multimedia, IEEE TRANSACTIONS ON IMAGE PROCESSING. Vol. 6, No. 12, December 1997, 1673-1687, (2005).

DOI: 10.1109/83.650120

Google Scholar

[3] R. F. Boyer and R. S. Spencer, Thermal expansion and second-order transition effects in high polymers: part II. Theory, Journal of Applied Physics, vol. 16, no. 10, p.594–607, (1945).

DOI: 10.1063/1.1707509

Google Scholar

[4] A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, Englewood Cliffs, NJ, USA, (1989).

Google Scholar

[5] X. Yang, W. Lin, Z. Lu, E. Ong, and S. Yao, Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile, IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 6, p.742–751, (2005).

DOI: 10.1109/tcsvt.2005.848313

Google Scholar

[6] N. Jayant, J. Johnston, and R. Safranek, Signal compression based on models of human perception, Proc. IEEE, vol. 81, pp.1385-1422, Oct. (1993).

DOI: 10.1109/5.241504

Google Scholar

[7] A. B. Watson, DCT quantization matrices optimized for individual images, Human Vision, Visual Processing, and Digital Display IV, SPIE-1913: 202-216, (1993).

DOI: 10.1117/12.152694

Google Scholar

[8] M. Barni, F. Bartolini, and A. Piva, Improved Wavelet-Based Watermarking Through Pixel-Wise Masking, IEEE Trans. On Image Processing, vol. 10, no. 5, pp.783-791, May (2001).

DOI: 10.1109/83.918570

Google Scholar

[9] C. H. Chou and Y. C. Li, Perceptually tuned subband image coder based on the measure of justnoticeable-distortion profile, IEEE Transactions on Circuits and Systems for Video Technology, vol. 5, no. 6, p.467–476, (1995).

DOI: 10.1109/76.475889

Google Scholar

[10] L. T. Ko, J. E. Chen, H.C. Hsin, Haar-Wavelet-Based Just Noticeable Distortion Model for Transparent Watermark, Mathematical Problems in Engineering Volume 2012, Article ID 635738, 14 pages doi: 10. 1155/2012/635738.

DOI: 10.1155/2012/635738

Google Scholar