A comparison of discrete cosine and discrete wavelet transforms for efficient low-power oriented embedded design

  • Authors:

  • Dokouzyannis Stavros;Kechagias Asterios

  • Affiliations:

  • Aristotle University of Thessaloniki, Department of Electrical and Computer Engineering, Thessaloniki, Greece;Aristotle University of Thessaloniki, Department of Electrical and Computer Engineering, Thessaloniki, Greece

  • Venue:
  • EHAC'08 Proceedings of the 7th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications
  • Year:
  • 2008

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Abstract

Two popular transforms for image coding are the Discrete Cosine Transform and the Discrete Wavelet Transform. Both perform well in image processing and have certain similarities. The two algorithms are compared regarding the implementation efficiency as well as an adequate reconstruction of the original image. The scope of this work is to determine the degree of some loss of coded/decoded image quality, accepted by psycho-visual human criteria, in order to combine this loss with the reduction of hardware, necessary during low-power design of the respective coders/decoders. The analysis is based on psycho-visual experiments made on benchmark images, being coded/decoded by the mentioned two transforms.