Joint source-channel coding: secured and progressive transmission of compressed medical images on the Internet

Comput Med Imaging Graph. 2008 Jun;32(4):258-69. doi: 10.1016/j.compmedimag.2008.01.002. Epub 2008 Mar 4.

Abstract

The joint source-channel coding system proposed in this paper has two aims: lossless compression with a progressive mode and the integrity of medical data, which takes into account the priorities of the image and the properties of a network with no guaranteed quality of service. In this context, the use of scalable coding, locally adapted resolution (LAR) and a discrete and exact Radon transform, known as the Mojette transform, meets this twofold requirement. In this paper, details of this joint coding implementation are provided as well as a performance evaluation with respect to the reference CALIC coding and to unequal error protection using Reed-Solomon codes.

MeSH terms

  • Algorithms
  • Computer Security
  • Data Compression / methods*
  • Diagnostic Imaging*
  • Humans
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / methods*
  • Internet*
  • Numerical Analysis, Computer-Assisted
  • Signal Processing, Computer-Assisted