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Are the Wavelet Transforms the Best Filter Banks for Image Compression?

Abstract

Maximum regular wavelet filter banks have received much attention in the literature, and it is a general conception that they enjoy some type of optimality for image coding purposes. To investigate this claim, this article focuses on one particular biorthogonal wavelet filter bank, namely, the 2-channel 9/7. As a comparison, we generate all possible 9/7 filter banks with perfect reconstruction and linear phase while having a different number of zeros at for both analysis and synthesis lowpass filters. The best performance is obtained when the filter bank has 2/2 zeros at for the analysis and synthesis lowpass filters, respectively. The competing wavelet 9/7 filter bank, which has 4/4 zeros at , is thus judged inferior both in terms of objective error measurements and informal visual inspections. It is further shown that the 9/7 wavelet filter bank can be obtained using gain-optimized 9/7 filter bank.

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Correspondence to Ilangko Balasingham.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Balasingham, I., Ramstad, T.A. Are the Wavelet Transforms the Best Filter Banks for Image Compression?. J Image Video Proc 2008, 287197 (2008). https://doi.org/10.1155/2008/287197

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Keywords

  • Image Processing
  • Pattern Recognition
  • Computer Vision
  • Image Compression
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