International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.2, No.2, Dec. 2010

A Quality Assessment of Watermarked Color Image Based on Vision Masking

Full Text (PDF, 547KB), PP.47-54

Views:64   Downloads:0


Hongmei Yang

Index Terms

Digital watermarking; quality assessment; color image; vision masking; discrete cosine transform


The quality assessment of the watermarked color image is one of the most important aspects that evaluate the performance of watermarking system. PSNR is the common quality assessment of the watermarked image. But the results measured by PSNR usually do not match to human vision well and result in misleading. The discrete cosine transform was used as the image analysis tools. The psychophysical research -- the luminance, texture, frequency and color masking on human vision were analyzed and used in masking strength calculation. Then a vision masking calculation method of image DCT coefficients was given in this paper. Based on the masking strength calculation, a new quality assessment of watermarked color image was proposed. Experimental results showed that the new quality assessment outperforms PSNR. The distorted image quality values calculated using the new quality assessment are consistent with the perception of human vision and have high correlation and consistency with subjective values.

Cite This Paper

Hongmei Yang, "A Quality Assessment of Watermarked Color Image Based on Vision Masking", International Journal of Information Technology and Computer Science(IJITCS), vol.2, no.2, pp.47-54, 2010. DOI: 10.5815/ijitcs.2010.02.07


[1]I. J. Cox, J. Kilian, T. Leighton, and T. Shamoon, “Secure spread spectrum watermarking for multimedia”, IEEE Trans Image Processing, vol.6, 1997, pp. 1673-1687

[2]M. H. Hassan, S. A. M. Gilani, “A fragile watermarking scheme for color image authentication”, Transactions on Engineering, Computing and Technology, vol.13, 2006, pp. 312-316

[3]Y. Yusof, O. O. Khalifa, “Analysis on perceptibility and robustness of digital image watermarking using discrete wavelet transform”, IIJCSES International Journal of Computer Sciences and Engineering Systems, October vol. 2, 2008, pp. 241-244

[4]L. T. Lv, W. Wang, “Public-key watermark algorithm based on sift feature”, Computer Engineering, vol. 35, 2009, pp. 169-170, 173 (in chinese)

[5]X. C. Liu, Y. Luo, J. X. Wang, J. Wang, “Watermarking algorithm for image authentication based on second generation bandelet”, Journal of communication, vol. 31, 2010, pp. 123-130 (in chinese)

[6]M. Kutter, F. A. P. Petitcolas, “Fair evaluation methods for image watermarking system”, Journal of Electronic Imaging, vol. 9, 2000, pp. 445-455

[7]X. C. Bo, L. C. Shen, and W. S. Chang, “Evaluating the visibility of image watermarking in the DCT domain based on laplacian model”, Chinese Journal of Electronics. vol. 31, 2003, pp. 33-36.(in chinese)

[8]S. Q. Wang, “Digital watermarking arithmetic benchmarking”, Journal of Southwest University for Nationalities (Natural Science Edition), vol. 32, pp. 2006, 1285-1288 (in chinese)

[9]S. Winkler, E. D. Gelasca, and T. Ebrahimi, “ Perceptual Quality Assessment for Video Watermarking”. Proceedings of International Conference on Information Technology: Coding and Computing, 2002, pp. 90-94

[10]J. Ming, Q. W. Hao, and Y. Yang, “An Image quality measure based on dct domain weighted processing”, Journal of Anhui University (Natural Sciences), vol. 30, 2006, pp. 3

[11]H. M. Yang, Y. Q. Liang, “Imperceptibility evaluation of gray image watermarking in dct domain”, Computer Engineering and Applications, vol. 43, 2007, pp. 13-15 (in chinese)

[12]H. M. Yang, Y. Q. Liang, L. S. Liu, and S. J. Ji, “HVS-based imperceptibility evaluation of watermark in watermarked color image”, Journal on Communitions, vol. 29, 2008, pp. 95-100 (in chinese)

[13]G. L. Anderson, A. N. Netravali, “Image restoration based on a subjective criterion”, IEEE Transaction on Systems, Man and Cybernetics, vol. 6, 1976, pp. 845-853

[14]Y. Zhu. Experimental Psychology , Beijing: Peking University Press, 2000 (in chinese)

[15]X. F. Zhu, W. G. Zhi, Introduction to Computer Image Processing, Beijing: Science and Technology Literature Published, 2002 (in chinese)

[16]J. Mannos, D. Sarkrison, “The effects of a visual fidelity criterion on the encoding of images”, IEEE Transactions on Information Theory, vol. 20, July 1974, pp. 525-536

[17]H. R. Sheikh, W. Wang, L. Cormack, and A. D. Bovik. “LIVE Image Quality Assessment Database”,

[18]W. Lu, H. T. Lu. “Color image watermarking based on amplitude modulation”. Computer Engineering, vol. 31, 2005, pp.140-142 (in chinese)