The design and implementation of a progressive on-demand image dissemination system for very large images

  • Authors:
  • Michael J. Owen;Andrew K. Lui;Edward H. S. Lo;Mark W. Grigg

  • Affiliations:
  • Defence Science and Technology Organisation, Fernhill Park, Canberra ACT;Open University of Hong Kong, Homantin, Hong Kong;Defence Science and Technology Organisation, Fernhill Park, Canberra ACT;Defence Science and Technology Organisation, Fernhill Park, Canberra ACT

  • Venue:
  • ACSC '01 Proceedings of the 24th Australasian conference on Computer science
  • Year:
  • 2001

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Abstract

The use of progressive, on-demand image dissemination techniques can support efficient dissemination of very large images across networks. In this paper we examine the effectiveness of various design options in developing such on-demand dissemination systems. We show that the choice of the design options can have a profound impact on the efficient use of client, server, and network resources. Based on our performance evaluation experiments, we recommend that efficient dissemination can be achieved by tiling images with a session-based progressive wavelet compression algorithm, delivering the compressed data to tiles in a round-robin manner, and performing custom client-side virtual memory management for image data to improve image data retrieval speed.