• DocumentCode
    1733395
  • Title

    Blind quantization ratio estimation for JPEG images using digital watermarking

  • Author

    Altous, Salahaldeen ; Samee, Muhammad Kashif ; Götze, Jürgen

  • Author_Institution
    Inf. Process. Lab., Dortmund Univ. of Technol., Dortmund, Germany
  • fYear
    2011
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    Most image acquisition and editing tools use the JPEG standard for image compression. In this paper, a simple quantization ratio estimation scheme based on digital watermarking is proposed. An 8×8 pixel block is selected from the original image and inserted in the whole image using digital watermarking. If the receiver does not know the quantization ratio (quality factor) with which image is compressed, it can apply a set of all possible quantization ratios to the received compressed image. The inserted watermark can be extracted correctly only with the same quantization ratio which was used to compress the image. Hence image can be decompressed (reconstructed) without the prior knowledge of quantization ratio.
  • Keywords
    data compression; image coding; image watermarking; JPEG images; blind quantization ratio estimation; digital watermarking; image acquisition; image compression; receiver; Estimation; Image coding; Q factor; Quantization; Receivers; Transform coding; Watermarking; Digital watermarking; JPEG compression; Quantization table estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2011 Proceedings
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-1-61284-949-2
  • Electronic_ISBN
    1334-2630
  • Type

    conf

  • Filename
    6044319