Data dependent wavelet filtering for lossless image compression

  • Authors:

  • Oleksiy Pogrebnyak;Pablo Manrique Ramírez;Luis Pastor Sanchez Fernandez;Roberto Sánchez Luna

  • Affiliations:

  • Instituto Politecnico Nacional, CIC-IPN, Colonia Nueva Industrial Vallejo, Mexico D.F.;Instituto Politecnico Nacional, CIC-IPN, Colonia Nueva Industrial Vallejo, Mexico D.F.;Instituto Politecnico Nacional, CIC-IPN, Colonia Nueva Industrial Vallejo, Mexico D.F.;Instituto Politecnico Nacional, CIC-IPN, Colonia Nueva Industrial Vallejo, Mexico D.F.

  • Venue:
  • CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
  • Year:
  • 2005

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Abstract

A data dependent wavelet transform based on the modified lifting scheme is presented. The algorithm is based on the wavelet filters derived from a generalized lifting scheme. The proposed framework for the lifting scheme permits to obtain easily different wavelet FIR filter coefficients in the case of the (~N, N) lifting. To improve the performance of the lifting filters the presented technique additionally realizes IIR filtering by means of the feedback to the already calculated wavelet coefficients. The perfect image restoration in this case is obtained employing the particular features of the lifting scheme. Changing wavelet FIR filter order and/or FIR and IIR coefficients, one can obtain the filter frequency response that match better to the image data than the standard lifting filters, resulting in higher data compression rate. The designed algorithm was tested on different images. The obtained simulation results show that the proposed method performs better in data compression for various images in comparison to the standard technique resulting in significant savings in compressed data length.