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A Novel Image Compression Method Using Watermarking Technique in JPEG Coding Process

  • Conference paper
Book cover Advanced Concepts for Intelligent Vision Systems (ACIVS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4678))

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Abstract

Watermarking is a technique used to embed copyright information in an image. In this paper, we propose a novel image compression method which embeds a part of the coding parameters, instead of the copyright information, into an own image. The proposed method is adapted for the JPEG coding process. In the proposed method for JPEG, the DC coefficients of the DCT transform are embedded into low-to-middle frequency terms of the AC coefficients. Therefore, the DC coefficients need not be transmitted separately, which results in less data being needed for encoding. On the decoder side, first, the data for the DC coefficients embedded in AC coefficients is extracted. After this, the data of the DC and AC coefficients allows for the reconstruction of the image. Experiments on the relation between data compression ratio and PSNR using a quantization scale factor as parameter are carried out. The experimental results show that the proposed method has achieved a 3.65% reduction of the quantity of image data, compared with the standard JPEG method, while maintaining nearly the same image quality.

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References

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Jacques Blanc-Talon Wilfried Philips Dan Popescu Paul Scheunders

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© 2007 Springer-Verlag Berlin Heidelberg

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Kuroda, H., Miyata, S., Fujimura, M., Imamura, H. (2007). A Novel Image Compression Method Using Watermarking Technique in JPEG Coding Process. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_97

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  • DOI: https://doi.org/10.1007/978-3-540-74607-2_97

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74606-5

  • Online ISBN: 978-3-540-74607-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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