EZW-based image compression with omission and restoration of wavelet subbands

  • Authors:
  • Francisco A. Pujol;Higinio Mora;José Luis Sánchez;Antonio Jimeno

  • Affiliations:
  • Specialized Processor Architectures Lab, Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain;Specialized Processor Architectures Lab, Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain;Specialized Processor Architectures Lab, Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain;Specialized Processor Architectures Lab, Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain

  • Venue:
  • CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

It is well known that multimedia applications provide the user with information through different methods (text, data, graphics, images, audio, video, etc.) which must be digitally represented, transmitted, stored and processed. Due to the fact that there is an increasing interest in developing high definition systems, multimedia applications are demanding, among others, higher bandwidth resources and more memory requirements in embedded devices. Therefore, it is essential to use compression techniques to reduce the time requirements of these new applications. This work aims to design an EZW-based image compression model, which makes use of the omission and restoration of wavelet subbands, providing high compression rates, good quality standards and low computation time requirements. The results obtained show that our method satisfies these assumptions and can be integrated in new multi-media devices.