A Lossless Data Embedding Scheme for Medical Images in Application of e-Diagnosis

Xuanwen Luo, Qiang Cheng, Joseph Tan

Research output: Contribution to journalConference articlepeer-review

48 Citations (SciVal)

Abstract

With the development of digital techniques, traditional businesses are moving to a digital world for effectiveness, convenience and security. As a particular application, embedding to medical images with patient information such as patient personal data, history, test and diagnosis result before transmitting and storing, and recovering the embedded information and the original images exactly after receiving is an efficient way to execute correct medical practice and reduce storage, memory requirement and transmission time. It provides integrity of medical images and corresponding documentations, and protection of information. However, existing medical systems take them separately. To meet the integrity, this paper presents a lossless scheme for the medical image processing, which can be used in e-diagnosis. The scheme can provide relative high data embedding rate whereas keep a relative lower distortion. However, the method is distortion-tolerant in application. The original image can be recovered with distortion-free.

Original languageEnglish
Pages (from-to)852-855
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Keywords

  • Bit-plane
  • Distortion-tolerant
  • Integrity
  • Lossless compression

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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