Abstract
With the development of the big data age, information security is becoming more and more important. Screen content image are composed of text, graphics and natural image. They present strong anisotropic features, especially on the text and graphics parts. It is well known that Spread Transform Dither Modulation(STDM) is more robust to re-quantization, such as JPEG compression, than regular Quantization Index Modulation(QIM). In this paper, we propose a novel watermarking scheme for screen content grayscale image in DCT domain. On the basis of STDM, combined with the characteristics of human visual system, we use the texture complexity effect factor on DCT domain to adjust the watermarking process. To evaluate the performance of our proposed scheme, we use the reference image from the SIQAD image database. The 20 reference SCIs were thoughtfully identified from the Internet, and they cover a wide variety of image contents, including texts, graphics, symbols, patterns, and natural images. Experiments show that our method has a good performance in term of robustness and better visual quality.
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References
Yang, H., Fang, Y., Lin, W.: Perceptual quality assessment of screen content images. IEEE Trans. Image Process. 24(11), 4408–4421 (2015)
Wang, S., Ma, L., Fang, Y., Lin, W., Ma, S., Gao, W.: Just noticeable difference estimation for screen content images. IEEE Trans. Image Process. 25(8), 3838–3851 (2016)
Xu, J., Joshi, R., Cohen, R.A.: Overview of the emerging HEVC screen content coding extension. IEEE Trans. Circuits Syst. Video Technol. 26(1), 50–62 (2016)
Lin, T., Hao, P.: Compound image compression for real-time computer screen image transmission. IEEE Trans. Image Process. 14(8), 993–1005 (2005)
Lan, C., Shi, G., Wu, F.: Compress compound images in H.264/MPGE-4 AVC by exploiting spatial correlation. IEEE Trans. Image Process. 19(4), 946–957 (2010)
Yang, H., Lin, W., Deng, C.: Learning based screen image compression. In: Proceeding of the IEEE MMSP, pp. 77–82 (2012)
Pan, Z., Shen, H., Lu, Y., Li, S., Yu, N.: A low-complexity screen compression scheme for interactive screen sharing. IEEE Trans. Circuits Syst. Video Technol. 23(6), 949–960 (2013)
Requirements for an Extension of HEVC for Coding of Screen Content, document ISO/IEC JTC1/SC29/WG11 MPEG2013/N14174 (2014)
Tirkel, A.Z., Rankin, G.A., Van Schyndel, R.M., et al.: Electronic watermark. In: Digital Image Computing, Technology and Applications (DICTA 1993), pp. 666–673 (1993)
Li, Q., Doërr, G., Cox, I.J.: Spread transform dither modulation using a perceptual model. In: IEEE 8th Workshop on Multimedia Signal Processing, pp. 98–102 (2006)
Watson, A.B.: DCT quantization matrices visually optimized for individual images. In: Proceeding of the SPIE 1913(14) (1993)
Li, Q., Cox, I.J.: Improved spread transform dither modulation using a perceptual model: robustness to amplitude scaling and JPEG compression. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007, vol. 2, II-185 (2007)
Lin, Tao, Zhang, Peijun, Wang, Shuhui, Zhou, Kailun, Chen, Xianyi: Mixed chroma sampling-rate high efficiency video coding for full-chroma screen content. IEEE Trans. Circuits Syst. Video Technol. 23(1), 173–185 (2013)
Rao, K., Yip, P.: Discrete Cosine Transform: Algorithms, Advantages, Applications. Academic Press, Boston (1990)
Lu, Z., Lin, W., Yang, X., Ong, E., Susu, Y.: Modeling visual attention’s modulatory aftereffects on visual sensitivity and quality evaluation. Image Process. IEEE Trans. 14(11), 1928–1942 (2005)
Qi, H., Jiao, S., Lin, W., Tang, L., Shen, W.: Content-based image quality assessment using semantic information and luminance differences. Electron. Lett. 50(20), 1435–1436 (2014)
Fang, Y., Lin, W., Chen, Z., Tsai, C.M., Lin, C.W.: A video saliency detection model in compressed domain. IEEE Trans. Circuits Syst. Video Technol. 24(1), 27–38 (2014)
Wei, Z., Ngan, K.: Spatio-temporal just noticeable distortion profile for grey scale image/video in DCT domain. IEEE Trans. Circuits Systs. Video Technol. 20(3), 337–346 (2009)
Gu, K., Qiao, J., Min, X., Yue, G., Weisi, L.I.N., Thalmann, D.: Evaluating quality of screen content images via structural variation analysis. IEEE Trans. Vis. Comput. Graph. PP(99), 1 (2017)
Ni, Z., Ma, L., Zeng, H., Cai, C., Ma, K.-K.: Gradient direction for screen content image quality assessment. IEEE Signal Process. Lett. 23(10), 1394–1398 (2016)
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Wang, J., Wan, W., Zhang, M., Zou, L., Sun, J. (2018). A Blind Quantization Watermarking Scheme for Screen Content Image. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11066. Springer, Cham. https://doi.org/10.1007/978-3-030-00015-8_6
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DOI: https://doi.org/10.1007/978-3-030-00015-8_6
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