• DocumentCode
    1980963
  • Title

    Tamper detection and recovery of medical image watermarking using modified LSB and Huffman compression

  • Author

    Adiwijaya ; Faoziyah, P.N. ; Permana, F.P. ; Wirayuda, Tjokorda Agung Budi ; Wisesty, U.N.

  • Author_Institution
    Telkom Univ., Bandung, Indonesia
  • fYear
    2013
  • fDate
    23-25 Sept. 2013
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    Medical image is an object which can help doctors to diagnose the patient. However, due to the rapid development of technology nowadays, mostly there are several parties that did some manipulation towards the medical image by using this technology. It can be harm for the patient. One of the concrete solutions to protect the authenticity of an image from the manipulation is by applying a watermarking. By inserting the watermark, the process to detecting the location of a manipulated medical image can be done by this system. Hence, the manipulated medical image can also be recovered until it similar with the original image by inserting a feature extraction such as the average intensity of the image blocks. This paper will discuss a scheme of reversible watermark using a modified LSB and Huffman compression to detecting and recovering the manipulated medical image. The testing results shows that this system is capable to detect the attack with an accuracy of up to 100% and can do the recovery with an accuracy of recovery rate up to 98% for some attacks.
  • Keywords
    feature extraction; image watermarking; medical image processing; Huffman compression; feature extraction; image authenticity protection; image recovery; medical image watermarking; modified LSB; patient diagnosis; tamper detection; Accuracy; Digital images; Image coding; Medical diagnostic imaging; Testing; Watermarking; Huffman; image recover; modified LSB; tamper detection; watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics and Applications (ICIA),2013 Second International Conference on
  • Conference_Location
    Lodz
  • Print_ISBN
    978-1-4673-5255-0
  • Type

    conf

  • DOI
    10.1109/ICoIA.2013.6650242
  • Filename
    6650242