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Pattern Image Technique for Data Hiding via Message Bits Stream

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Many types of multimedia can be used to conduct pervasive communication, like advertisements, posters, videos, images, audios etc. Messages may be embedded into such multimedia by data hiding techniques, resulting in the so-called Message-rich multimedia. In this study a new technique is proposed for creating a new type of Message-rich multimedia, called Message-rich video, via which people can exchange information without transmitting directly digital files such as videos and images. With its task related to that of a QR code, such a type of image is produced by encoding the message into a binary bit stream, representing the bits by binary code patterns of 2 × 2 blocks, and injecting the patterns into the target frame by a novel image-block luminance modulation scheme. Message can be embedded in frame of video and extracted by display-and-imaging fashion techniques. For message embedding, the use of diagonal circular signals in the frequency domain is proposed, by which a 2-bit signal can be embedded in each video frame. For message extraction, a signal detection method based on the technique of moment-preserving thresholding using certain specially-designed masks is proposed. A message synchronization mechanism is also proposed to guarantee correct message extraction is also proposed. The feasibility of the proposed method is demonstrated by theoretical analyses and good experimental results.
Keywords:Frame Conversion from video, Pattern Image Creation, Block luminance modulation, Message-rich-video, Image preprocessing, Binarization.


  1. Ya-Lin Lee and Wen-Hsiang Tsai, ”A New Data Transfer Method via Signal- Rich- Art Code Images Captured by Mobile Devices”, IEEE Trans.on. cirs and sys.for, vol.25, no.4, April. 2015.
  2. Abhijith Punnappurath, Ambasamudram Narayanan Rajagopalan, Sima Taheri, Rama Chellappa and Guna Seetharaman, “Face Recognition across Non-Uniform Motion Blur, Illumination, and Pose”, IEEE Trans. Image Process, vol.24, no.7, July. 2015.
  3. O. Bulan, G. Sharma, and V. Monga, “ Orientation modulation for data hiding in clustered-dot halftone prints,” IEEE Trans. Image Process., vol. 19, no. 8, pp. 2070–2084, Aug. 2010.
  4. N. Damera-Venkata, J. Yen, V. Monga, and B. L. Evans, “Hardcopy image barcodes via block-error diffusion,” IEEE Trans. Image Process., vol. 14, no. 12, pp. 1977–1989, Dec. 2005.
  5. G.Doërr and J.-L. Dugelay, “A guide tour of video watermarking,” Signal Process., Image Commun., vol. 18, no. 4, pp. 263–282, 2003.
  6. R. L. Lagendijk, G. C. Langelaar, and I. Setyawan, “Watermarking digital image and video data. A state-of-the-art overview,” IEEE Signal Process. Mag., vol. 17, no. 5, pp. 20-46, Sep. 2000.
  7. W.Lie and L.-C. Chang, “Robust and high-quality time-domain audio watermarking based on low-frequency amplitude modification,” IEEE Trans. Multimedia, vol. 8, no. 1, pp. 46–59, Feb. 2006.
  8. Y.L. Lee and W.-H. Tsai, “Signal rich art image- A new tool for automatic identification and data capture applications using mobile phones,” in Proc. IEEE Int. Conf. Acoust. Speech Signal Process., pp. 1942–1946., May 2013. 39
  9. Orhan Bulan and Gaurav Sharma ,” High Capacity Color Barcodes:Per Channel Data Encoding via Orientation Modulation in Elliptical Dot Arrays”, IEEE Trans. Image Processing, vol.20, no.5, May . 2011.
  10. Z.Wang, C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image Quality assessment: From error visibility to structural similarity,” IEEE Trans.Image Process, vol.13, no.4, April. 2004.
  11. H. Yang, A. C. Kot, and X. Jiang, “Binarization of low-quality barcode images captured by mobile phones using local window of adaptive location and size,” IEEE Trans. Image Process, vol.21, no.1, Jan. 2012.
  12. H. Yang, A. C. Kot, and X. Jiang, “Accurate localization of four Extreme corners for barcode images captured by mobile phones,” in Proc. IEEE Int. Conf. Image Process, Sep. 2010.