Still Image Watermarking in the DCT Domain Using the Human Visual System 


Vol. 30,  No. 12, pp. 1214-1221, Dec.  2005


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  Abstract

In this paper, we propose a digital watermarking method for still images, in which the human visual system (HVS) is used in the discrete cosine transform (DCT) domain. The modulation transfer function (MTF) of the HVS model is employed to increase the invisibility of the inserted watermark in images. The proposed watermarking method is shown to be robust to several common image processing techniques, including lowpass filtering and cropping. Also, using the energy relationship of the DCT, we derive the equation that directly computes the watermark weighting factor in the DCT domain for the specified peak signal to noise ratio (PSNR) of the still image and the length of watermark to be inserted. The difference between desired PSNR and PSNR in spatial domain is within 0.07dB for the 7 test images.

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  Cite this article

[IEEE Style]

O. Kwon and R. Park, "Still Image Watermarking in the DCT Domain Using the Human Visual System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 12, pp. 1214-1221, 2005. DOI: .

[ACM Style]

O-Hyung Kwon and Rae-Hong Park. 2005. Still Image Watermarking in the DCT Domain Using the Human Visual System. The Journal of Korean Institute of Communications and Information Sciences, 30, 12, (2005), 1214-1221. DOI: .

[KICS Style]

O-Hyung Kwon and Rae-Hong Park, "Still Image Watermarking in the DCT Domain Using the Human Visual System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 12, pp. 1214-1221, 12. 2005.