Image compression using auto-associative neural network and embedded zero-tree coding

  title={Image compression using auto-associative neural network and embedded zero-tree coding},
  author={S. Patnaik and R. Pal},
  journal={2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)},
  • S. Patnaik, R. Pal
  • Published 2001
  • Mathematics
  • 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)
This paper presents an image compression method using auto-associative neural network and embedded zero-tree coding. The role of the neural network (NN) is to decompose the image stage by stage, which enables analysis similar to wavelet decomposition. This works on the principle of principal component extraction (PCE). Network training is achieved through a recursive least squares (RLS) algorithm. The coefficients are arranged in a four-quadrant sub-band structure. The zero-tree coding… Expand

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